Abstract:
This disclosure relates generally to information technology management, and more particularly to systems and methods for enterprise application portfolio management. In one embodiment, an application portfolio management system is disclosed, comprising: a hardware processor; and a memory storing processor-executable instructions for: receiving application usage data associated with software applications utilized by a plurality of users; obtaining computer program instructions for processing the application usage data; processing the application usage data according to the computer program instructions, to generate a recommendation for one or more maintenance operations associated with one or more of the applications; and providing the generated recommendation.

Description:
PRIORITY CLAIM 
       [0001]    This U.S. patent application claims priority under 35 U.S.C. §119 to Indian Patent Application No. 1/CHE/2014, filed Jan. 1, 2014, and entitled “SYSTEMS AND METHODS FOR ENTERPRISE APPLICATION PORTFOLIO MANAGEMENT.” The aforementioned application is incorporated herein by reference in its entirety. 
     
    
     TECHNICAL FIELD 
       [0002]    This disclosure relates generally to information technology management, and more particularly to systems and methods for enterprise application portfolio management. 
       BACKGROUND 
       [0003]    Enterprise application portfolio management (APM) involves managing the lifecycle of software applications across the enterprise. APM includes processes that help in taking decisions to manage large application portfolios. These decisions include, for example: when to invest in new applications; when to retire older applications; and when to enhancing the application portfolio. 
         [0004]    APM typically involves calculating various metrics in connection with the applications using application-related data. Gathering such data often involves manual activities such as talking to the various users and owners of the applications. The data collated from the users and owners is subjective, rather than objective. Further, such processes are complex, error-prone, and labor-intensive. Also, the collected data often becomes outdated because the applications continuously evolve. The frequency of data collection often does not match the pace of change. 
       SUMMARY 
       [0005]    In one embodiment, an application portfolio management method is disclosed, comprising: receiving application usage data associated with software applications utilized by a plurality of users; obtaining computer program instructions for processing the application usage data; processing, using one or more hardware processors, the application usage data according to the computer program instructions, to generate a recommendation for one or more maintenance operations associated with one or more of the applications; and providing the generated recommendation. 
         [0006]    In one embodiment, an application portfolio management system is disclosed, comprising: a hardware processor; and a memory storing processor-executable instructions for: receiving application usage data associated with software applications utilized by a plurality of users; obtaining computer program instructions for processing the application usage data; processing the application usage data according to the computer program instructions, to generate a recommendation for one or more maintenance operations associated with one or more of the applications; and providing the generated recommendation. 
         [0007]    In one embodiment, a non-transitory computer-readable medium is disclosed, storing application portfolio management instructions, the instructions comprising instructions for: receiving application usage data associated with software applications utilized by a plurality of users; obtaining computer program instructions for processing the application usage data; processing the application usage data according to the computer program instructions, to generate a recommendation for one or more maintenance operations associated with one or more of the applications; and providing the generated recommendation. 
         [0008]    It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0009]    The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate exemplary embodiments and, together with the description, serve to explain the disclosed principles. 
           [0010]      FIG. 1  illustrates exemplary components of an enterprise application portfolio management system according to some embodiments. 
           [0011]      FIGS. 2A ,  2 B,  2 C,  2 D,  2 E,  2 F, and  2 G illustrate graphical user interfaces of an enterprise application store according to some embodiments. 
           [0012]      FIG. 3  is a flow diagram illustrating a first exemplary application metadata generation procedure in accordance with some embodiments. 
           [0013]      FIG. 4  is a flow diagram illustrating a second exemplary application metadata generation procedure in accordance with some embodiments. 
           [0014]      FIGS. 5A and 5B  are flow diagrams illustrating an exemplary rule-based metadata selection and transmission procedure in accordance with some embodiments. 
           [0015]      FIGS. 6A and 6B  are flow diagrams illustrating an exemplary rule-based enterprise application portfolio management procedure in accordance with some embodiments. 
           [0016]      FIG. 7  is a block diagram of an exemplary computer system for implementing embodiments consistent with the present disclosure. 
       
    
    
     DETAILED DESCRIPTION 
       [0017]    Exemplary embodiments are described with reference to the accompanying drawings. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. Wherever convenient, the same reference numbers are used throughout the drawings to refer to the same or like parts. While examples and features of disclosed principles are described herein, modifications, adaptations, and other implementations are possible without departing from the spirit and scope of the disclosed embodiments. It is intended that the following detailed description be considered as exemplary only, with the true scope and spirit being indicated by the following claims. 
         [0018]      FIG. 1  illustrates exemplary components of an enterprise application portfolio management system according to some embodiments. In some embodiments, a user  101  may employ client  103  to execute software applications (“apps”). The apps may be downloaded and installed on to client  103  using an enterprise application store  102  (“app store”). For example, an app store server  109  may provide an app store UI  118  to client  103 . Using the app store UI, user  101  may select one or more apps, which client  103  may download and install. In some embodiments, as user  101  utilizes the apps on client  103 , client  103  may provide metadata to app store server  109 . For example, the metadata may include information on app usage by user  101 , feedback that user  101  may provide on one or more apps, app performance as executed on client  103 , etc. Such metadata may be stored by app store server  109  at app metadata database  112 . Data collector  114  may obtain metadata from a number of application portfolio management-related tasks (e.g., application runtime environment  104 , asset metadata  106 , business process models  108 , enterprise portfolio management tools  110 , etc.), and may provide the data to the app metadata database. In some embodiments, Data collector  114  may also obtain metadata from the app metadata database, and may provide the data to accomplish a number of application portfolio management-related tasks. For example, such metadata may be used to modify an application runtime environment (see  104 ), generate metadata reports related to a specified software application asset (see  106 ), optimize business process models (see  108 ), and facilitate enterprise portfolio management tools (see  110 ). In some embodiments, a portfolio data management software component may access the aggregated metadata stored in app metadata database  112 , and provide the data (e.g., in the forms of statistical reports, as a RSS feed, etc.) to an administrator computer  107 , which may be viewed by an application portfolio manager  105 . 
         [0019]      FIGS. 2A ,  2 B,  2 C,  2 D,  2 E,  2 F, and  2 G illustrate graphical user interfaces of an enterprise application store according to some embodiments. As shown in  FIG. 2A , in some embodiments, client  103  may display a graphical user interface  118  to user  101 , or administrator computer  107  may display it for app portfolio manager  105 . Graphical user interface  118  may depict user interface elements with which the user can interact using an input device, such as a keyboard, mouse, trackpad, etc. For example, the user may be able to select software applications (“apps”) to download from app store server  109  via graphical user interface  118 . Graphical user interface  118  may provide the user with information on apps that are presently installed on the computer (see  211 ). Such information may be stored at app store server  109 , and may be provided to the user via graphical user interface  118 . Graphical user interface  118  may also indicate other apps that app store server  109  determines should be recommended the user to download and install on the computer (see  212 ). In some embodiments, app store server  109  may have stored data on usage by a user of apps installed on a computer. Graphical user interface  118  may provide user interface elements providing information on app usage (see  213 ). Graphical user interface  118  may also indicate apps that have recently become available for download and installation on to the computer (see  214 ). The user can configure any aspects of graphical user interface  118  by modifying the user&#39;s profile settings (see  215 ). For example, the computer can provide required data (e.g., metadata) that, along with data from other users, determine which apps are recommended via graphical user interface  118 , e.g., in accordance with settings configured by app portfolio manager  105  via administrator computer  107 ). The computer may provide feedback (see  216 ) regarding any app, or regarding any aspect related to graphical user interface  118 . Further, the user can submit ideas regarding any app of any aspect related to graphical user interface  118  (see  217 - 219 ). For example, the user can submit ideas regarding which apps should be purchased (or have its associated license agreement or modified), retired, modified, etc. 
         [0020]    As shown in  FIG. 2B , graphical user interface  118  may provide a list of recommended apps (see  222 ). The apps may be recommended by app store server  109  based on the user&#39;s prior usage of apps installed on the computer. In some embodiments, the computer may utilize an app, such as an activity logger (see  223 ), to log activity of one or more users. As shown in  FIG. 2C , the user can search for apps to install on to the computer (see  231 ). Based on the search graphical user interface  118  may provide search results for apps that the user can then install on client  103  (see  232 ). 
         [0021]    As shown in  FIG. 2D , user  101  can select an app (such as  241 ) to download and install on client  103 . The graphical user interface  118  may provide a screen with detailed information on the selected app. For example, the screen may include interface elements providing an average user rating ( 242 ), an app score and app usage statistics (see  243 ), etc. Also, the user can rate the app (see  244 ), and write or provide reviews of the app (see  245 ). App store server  109  may use the ratings and review of user  101  to generate statistics and recommendations to provide via graphical user interface  118 . 
         [0022]    As shown in  FIG. 2E ,  2 E-G are screens for administrator-update graphical user interface  118  can provide a detailed view of statistics of a selected app. For example, the user can search for an app (see  251 ). The graphical user interface  118  may provide detailed statistics (see  253 ) for the app (see  252 ). For example, the details may include a date of software release, a version number, an average user rating, a total number of subscribers, a total number of logins over a period of time, average activity amounts, an availability ratio (e.g., for apps with a limit on a number of concurrent users), maintenance recommendations, licensing status, recommendations on renewal of licensing (based on data collected), etc. Example recommendations include, without limitation: a recommendation to terminate a software license, a recommendation to renew a software license, a recommendation to upgrade software to a newer version, a recommendation to decommission an application, or a recommendation to upgrade hardware associated with an application. It is to be understood that any recommendation regarding modification of a software or hardware component is contemplated herein. 
         [0023]    As shown in  FIG. 2F , graphical user interface  118  may provide alerts to the user. For example, with regard to app availability ratio, the graphical user interface  118  may provide a detailed view of app availability (see  263 ) for the user during a holiday period (see  262 ). The user may set a target availability ratio (see  264 ) at which to receive alerts (see  261 ), so that the user may be notified by the app is available for use. The user may elect to receive additional alerts regarding app usage. For example, a user may be notified if the user has used an app at a level below a minimum threshold (see  265 ). Graphical user interface  118  may provide recommendations along with such alerts, e.g., to retire an application, or renew its license (see  266 ). Example recommendations include, without limitation: a recommendation to terminate a software license, a recommendation to renew a software license, a recommendation to upgrade software to a newer version, a recommendation to decommission an application, or a recommendation to upgrade hardware associated with an application. It is to be understood that any recommendation regarding modification of a software or hardware component is contemplated herein. As shown in  FIG. 2G , the user may provide settings (see  271 ), such as a frequency for updating metrics regarding an app ( 272 - 273 ). Graphical user interface  118  may provide a user interface element (see  274 ) using which the user can edit these settings. 
         [0024]      FIG. 3  is a flow diagram illustrating a first exemplary application metadata generation procedure  300  in accordance with some embodiments. In some embodiments, at step  305 , client  103  or administrator computer  107  may present an app store user interface (“UI”) to user  101  or app portfolio manager  105 , respectively. For example, the user interface screens of  FIGS. 2A-G  may be presented. At step  310 , the computer may obtain user input from the user in response to providing the UI for that user or another user. At step  315 , the computer may determine what type of input the user has provided into the UI. For example, if the user provided an input to modify an app (e.g., install, uninstall, add/remove features, log in, etc.), the computer may identify the app that is being modified at step  320 . At step  325 , the computer may determine the app modifications. If the user provided an input to provide feedback on an app, at step  330 , the computer may identify the app regarding which the user provided feedback, the computer may, at step  335 , obtain the feedback data provided by the user. Using the identified app modifications and/or feedback data, at step  340 , the computer may generate app metadata for transmission to app store server  109 . For example, the computer may use procedure  500  discussed below with reference to  FIG. 5 , to identify the metadata that should be transmitted, and transmit the identified metadata. 
         [0025]      FIG. 4  is a flow diagram illustrating a second exemplary application metadata generation procedure  400  in accordance with some embodiments. In some embodiments, at step  405 , client  103  may execute an app that is downloaded and installed using the app store. At step  410 , client  103  may obtain user input into the app. At step  420 , client  103  may process the user input to generate app variables stored in memory on client  103 . Examples of such variables may reflect parameters including, without limitation, amount of user input, duration of user interaction with the app, amount of app-related computation, etc. Using such variables, at step  425 , client  103  may generate app metadata for transmission to app store server  109 . For example, client  103  may use procedure  500  discussed below with reference to  FIG. 5 , to identify the metadata that should be transmitted, and transmit the identified metadata. 
         [0026]      FIGS. 5A and 5B  are flow diagrams illustrating an exemplary rule-based metadata selection and transmission procedure  500  in accordance with some embodiments. As shown in  FIG. 5A , at step  505 , app store server  109  or client  103  may aggregate metadata generated previously, e.g., according to procedures  300  and  400  discussed above with reference to  FIGS. 3-4 . At step  510 , the computer may select a piece of the aggregated metadata, to determine whether it should be transmitted to app store server  109 . At step  515 , the computer may identify a type for the metadata piece (e.g., user feedback, usage statistics, etc.), and at step  520 , the computer may query a database for applicable rules to determine whether the metadata should, or should not, be transmitted. At step  525 , the computer may sort the applicable rules in order of priority, e.g., so that the rules of higher priority are applied before rules of lower priority. 
         [0027]    As shown in  FIG. 5B , at step  530 , the computer may select an unapplied rule of highest priority, and apply the selected rule to the selected piece of metadata. An example rule, written substantially in the form of XML-structured data, is provided below: 
         [0000]    
       
         
               
             
               
               
             
               
             
           
               
                   
               
             
             
               
                 &lt;RULE&gt; 
               
             
          
           
               
                   
                 &lt;IF&gt;metadata_type=APP_USAGE&lt;/if&gt;&lt;AND&gt; 
               
               
                   
                 &lt;IF&gt;app_name=”security_scanner”&lt;/IF&gt; 
               
               
                   
                 &lt;THEN&gt;instruction=TRANSMIT_ANONYMOUSLY”&lt;/THEN&gt; 
               
               
                   
                 &lt;ELSE&gt;instruction=DEFER&lt;/ELSE&gt; 
               
             
          
           
               
                 &lt;/RULE&gt; 
               
               
                   
               
             
          
         
       
     
         [0028]    The rules can be complicated, including multiple, nested conditions, and incorporate branched decision-making. Examples rules may dictate what level of information from the application logs (from  104 ) should be collected. For example, a rule may specify that Data Collector  114  should only collect Errors and Response time, but should ignore CPU &amp; Memory usage. As another example, the rules may determine what attributes of Asset Data should be collected. For example, the rules may specify that Application Name, Server details of where it is hosted. Business Process it maps to, and Importance/Criticality of the application should be collected, but that attributes like Maintenance Time, Owner of the Application should be ignored (e.g., to maintain privacy). As another example, the rules may determine whether Ratings &amp; Feedback are reported with or without user attribution (e.g., anonymous collection). In some cases, the rules may determine whether data should be selectively collected by app or by category of apps (e.g., games, business productivity, etc.). It is to be understood that the rules discussed above are exemplary only and do not limit the disclosure. 
         [0029]    Using the rule, at step  535 , the computer may determine whether metadata piece must, or must not, be transmitted for collection in app metadata database  112 . At step  540 , if the computer determines that the metadata piece must be transmitted for storage, the computer may, at step  545 , save the metadata piece for transmission. At step  550 , if the computer determines that the metadata piece must not be transmitted for storage, client  103  may terminate processing for the currently selected metadata piece, and send processing to step  565  ( FIG. 5A ). If the rule is not dispositive (e.g., it dictate neither that the metadata piece must be transmitted, nor that it must not), then the computer may determine, at step  555 , whether additional rules remain to be applied. If so, the computer may return processing to step  530 . If not, the computer may save the metadata piece for transmission (or not), depending on default settings of the computer. When processing for a metadata piece is complete, the computer may return control of processing to step  565 , where the computer may determine whether additional metadata pieces are available to be processed. The computer may repeat the above procedure for each remaining metadata piece. 
         [0030]      FIGS. 6A and 6B  are flow diagrams illustrating an exemplary rule-based enterprise application portfolio management procedure  600  in accordance with some embodiments. As shown in  FIG. 6A , at step  605 , app store server  109  may aggregate app metadata transmitted from clients such as client  103 . At step  610 , app store server  109  may select an app included within the app store environment, and at step  615 , app store server  109  may isolate app metadata corresponding to the selected app. At step  620 , app store server  109  may query a database for applicable app management rules, using which the app store server  109  may determine whether any app management actions should be taken with respect to the selected app. At step  625 , app store server  109  may select an app management rule. 
         [0031]    As shown in  FIG. 6B , at step  630 , app store server  109  may determine any modifications to the app runtime environment using the selected app management rule. If any modifications to the app runtime environment are to be made based on the selected app management rule, at step  635 , app store server  109  may modify the app runtime environment accordingly. At step  640 , app store server  109  may determine any modifications to app-related contract agreements (such as purchase agreements, license agreements, number of license seats, etc.) based on the selected app management rule. For example, the app store server  109  may determine one or more recommendations, such as, without limitation: a recommendation to terminate a software license, a recommendation to renew a software license, a recommendation to upgrade software to a newer version, a recommendation to decommission an application, or a recommendation to upgrade hardware associated with an application. It is to be understood that any recommendation regarding modification of a software or hardware component is contemplated herein. If any modification to the app-related contract agreements are to be made, at step  645 , app store server  109  may transmit automatically the appropriate communications to provide notification of contract agreement modification. For example, app store server  109  may transmit such notifications to a server of a software developer, a software company, an app portfolio management computer (e.g., operated by app portfolio manager  105 , etc.). At step  650 , app store server  109  may generate a rule compliance report, which may include a log of the processing of the rule, the results generated fro rule processing, a listing of resulting actions performed, a listing of follow-up actions to be performed, etc. At step  655 , app store server  109  may store the modified app runtime environment settings, the contractual agreement modifications, the rule compliance report, etc. If any additional rules need to be applied (see step  660 ), app store server  109  may perform a procedure similar to that described above for the remaining rules. 
         [0032]      FIG. 7  is a block diagram of an exemplary computer system for implementing embodiments consistent with the present disclosure. Variations of computer system  701  may be used for implementing client  103 , administrator computer  107 , and app store server  109 . Computer system  701  may comprise a central processing unit (“CPU” or “processor”)  702 . Processor  702  may comprise at least one data processor for executing program components for executing user- or system-generated requests. A user may include a person, a person using a device such as those included in this disclosure, or such a device itself. The processor may include specialized processing units such as integrated system (bus) controllers, memory management control units, floating point units, graphics processing units, digital signal processing units, etc. The processor may include a microprocessor, such as AMD Athlon, Duron or Opteron, ARM&#39;s application, embedded or secure processors, IBM PowerPC. Intel&#39;s Core, Itanium, Xeon, Celeron or other line of processors, etc. The processor  702  may be implemented using mainframe, distributed processor, multi-core, parallel, grid, or other architectures. Some embodiments may utilize embedded technologies like application-specific integrated circuits (ASICs), digital signal processors (DSPs), Field Programmable Gate Arrays (FPGAs), etc. 
         [0033]    Processor  702  may be disposed in communication with one or more input/output (I/O) devices via I/O interface  703 . The I/O interface  703  may employ communication protocols/methods such as, without limitation, audio, analog, digital, monoaural. RCA, stereo, IEEE-1394, serial bus, universal serial bus (USB), infrared, PS/2, BNC, coaxial, component, composite, digital visual interface (DVI), high-definition multimedia interface (HDMI), RF antennas, S-Video, VGA, IEEE 802.11 a/b/g/n/x, Bluetooth, cellular (e.g., code-division multiple access (CDMA), high-speed packet access (HSPA+), global system for mobile communications (GSM), long-term evolution (LTE), WiMax, or the like), etc. 
         [0034]    Using the I/O interface  703 , the computer system  701  may communicate with one or more I/O devices. For example, the input device  704  may be an antenna, keyboard, mouse, joystick, (infrared) remote control, camera, card reader, fax machine, dongle, biometric reader, microphone, touch screen, touchpad, trackball, sensor (e.g., accelerometer, light sensor, GPS, gyroscope, proximity sensor, or the like), stylus, scanner, storage device, transceiver, video device/source, visors, etc. Output device  705  may be a printer, fax machine, video display (e.g., cathode ray tube (CRT), liquid crystal display (LCD), light-emitting diode (LED), plasma, or the like), audio speaker, etc. In some embodiments, a transceiver  706  may be disposed in connection with the processor  702 . The transceiver may facilitate various types of wireless transmission or reception. For example, the transceiver may include an antenna operatively connected to a transceiver chip (e.g., Texas Instruments WiLink WL1283, Broadcom BCM4750IUB8, Infineon Technologies X-Gold 618-PMB9800, or the like), providing IEEE 802.11a/b/g/n, Bluetooth, FM, global positioning system (GPS), 2G/3G HSDPA/HSUPA communications, etc. 
         [0035]    In some embodiments, the processor  702  may be disposed in communication with a communication network  708  via a network interface  707 . The network interface  707  may communicate with the communication network  708 . The network interface may employ connection protocols including, without limitation, direct connect, Ethernet (e.g., twisted pair 10/100/1000 Base T), transmission control protocol/internet protocol (TCP/IP), token ring, IEEE 802.11a/b/g/n/x, etc. The communication network  708  may include, without limitation, a direct interconnection, local area network (LAN), wide area network (WAN), wireless network (e.g., using Wireless Application Protocol), the Internet, etc. Using the network interface  707  and the communication network  708 , the computer system  701  may communicate with devices  709 ,  710 , and  711 . These devices may include, without limitation, personal computer(s), server(s), fax machines, printers, scanners, various mobile devices such as cellular telephones, smartphones (e.g., Apple iPhone, Blackberry, Android-based phones, etc.), tablet computers, eBook readers (Amazon Kindle, Nook, etc.), laptop computers, notebooks, gaming consoles (Microsoft Xbox, Nintendo DS, Sony PlayStation, etc.), or the like. In some embodiments, the computer system  701  may itself embody one or more of these devices. 
         [0036]    In some embodiments, the processor  702  may be disposed in communication with one or more memory devices (e.g., RAM  713 , ROM  714 , etc.) via a storage interface  712 . The storage interface may connect to memory devices including, without limitation, memory drives, removable disc drives, etc., employing connection protocols such as serial advanced technology attachment (SATA), integrated drive electronics (IDE), IEEE-1394, universal serial bus (USB), fiber channel, small computer systems interface (SCSI), etc. The memory drives may further include a drum, magnetic disc drive, magneto-optical drive, optical drive, redundant array of independent discs (RAID), solid-state memory devices, solid-state drives, etc. 
         [0037]    The memory devices may store a collection of program or database components, including, without limitation, an operating system  716 , user interface application  717 , web browser  718 , mail server  719 , mail client  720 , user/application data  721  (e.g., any data variables or data records discussed in this disclosure), etc. The operating system  716  may facilitate resource management and operation of the computer system  701 . Examples of operating systems include, without limitation, Apple Macintosh OS X, Unix, Unix-like system distributions (e.g., Berkeley Software Distribution (BSD), FreeBSD, NetBSD, OpenBSD, etc.), Linux distributions (e.g., Red Hat, Ubuntu, Kubuntu, etc.), IBM OS/2, Microsoft Windows (XP, Vista/7/8, etc.), Apple iOS, Google Android, Blackberry OS, or the like. User interface  717  may facilitate display, execution, interaction, manipulation, or operation of program components through textual or graphical facilities. For example, user interfaces may provide computer interaction interface elements on a display system operatively connected to the computer system  701 , such as cursors, icons, check boxes, menus, scrollers, windows, widgets, etc. Graphical user interfaces (GUIs) may be employed, including, without limitation, Apple Macintosh operating systems&#39; Aqua, IBM OS/2, Microsoft Windows (e.g., Aero, Metro, etc.), Unix X-Windows, web interface libraries (e.g., ActiveX, Java, Javascript, AJAX, HTML, Adobe Flash, etc.), or the like. 
         [0038]    In some embodiments, the computer system  701  may implement a web browser  718  stored program component. The web browser may be a hypertext viewing application, such as Microsoft Internet Explorer, Google Chrome, Mozilla Firefox, Apple Safari, etc. Secure web browsing may be provided using HTTPS (secure hypertext transport protocol), secure sockets layer (SSL), Transport Layer Security (TLS), etc. Web browsers may utilize facilities such as AJAX, DHTML, Adobe Flash, JavaScript, Java, application programming interfaces (APIs), etc. In some embodiments, the computer system  701  may implement a mail server  719  stored program component. The mail server may be an Internet mail server such as Microsoft Exchange, or the like. The mail server may utilize facilities such as ASP, ActiveX, ANSI C++/C#, Microsoft .NET, CGI scripts, Java, JavaScript, PERL, PHP, Python, WebObjects, etc. The mail server may utilize communication protocols such as internet message access protocol (IMAP), messaging application programming interface (MAPI), Microsoft Exchange, post office protocol (POP), simple mail transfer protocol (SMTP), or the like. In some embodiments, the computer system  701  may implement a mail client  720  stored program component. The mail client may be a mail viewing application, such as Apple Mail, Microsoft Entourage, Microsoft Outlook, Mozilla Thunderbird, etc. 
         [0039]    In some embodiments, computer system  701  may store user/application data  721 , such as the data, variables, records, etc. as described in this disclosure. Such databases may be implemented as fault-tolerant, relational, scalable, secure databases such as Oracle or Sybase. Alternatively, such databases may be implemented using standardized data structures, such as an array, hash, linked list, struct, structured text file (e.g., XML), table, or as object-oriented databases (e.g., using ObjectStore, Poet, Zope, etc.). Such databases may be consolidated or distributed, sometimes among the various computer systems discussed above in this disclosure. It is to be understood that the structure and operation of any computer or database component may be combined, consolidated, or distributed in any working combination. 
         [0040]    The specification has described systems and methods for enterprise application portfolio management. The illustrated steps are set out to explain the exemplary embodiments shown, and it should be anticipated that ongoing technological development will change the manner in which particular functions are performed. These examples are presented herein for purposes of illustration, and not limitation. Further, the boundaries of the functional building blocks have been arbitrarily defined herein for the convenience of the description. Alternative boundaries can be defined so long as the specified functions and relationships thereof are appropriately performed. Alternatives (including equivalents, extensions, variations, deviations, etc., of those described herein) will be apparent to persons skilled in the relevant art(s) based on the teachings contained herein. Such alternatives fall within the scope and spirit of the disclosed embodiments. Also, the words “comprising,” “having,” “containing,” and “including,” and other similar forms are intended to be equivalent in meaning and be open ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items, or meant to be limited to only the listed item or items. It must also be noted that as used herein and in the appended claims, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise. 
         [0041]    Furthermore, one or more computer-readable storage media may be utilized in implementing embodiments consistent with the present disclosure. A computer-readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored. Thus, a computer-readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein. The term “computer-readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., be non-transitory. Examples include random access memory (RAM), read-only memory (ROM), volatile memory, nonvolatile memory, hard drives, CD ROMs, DVDs, flash drives, disks, and any other known physical storage media. 
         [0042]    It is intended that the disclosure and examples be considered as exemplary only, with a true scope and spirit of disclosed embodiments being indicated by the following claims.