PATENT CLAIM ANALYSIS

Application Number: 15889492
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["717", "101000"]

Abstract:
Methods and systems for predicting estimation of project factors in software development environment are described. In one embodiment, a project analyst device receives first input data including at least one type of first software development model and associated one or more first project development data from a user. A feedback device loaded in a project estimation device identifies one or more first software project risk factors based on the at least one type of the first software development model. The project estimation device processes the one or more first project development data using the identified one or more first software project risk factors to identify one or more first intermediate data required for project factors estimation, and predicts estimations of the project factors using the identified one or more first intermediate data. Additional methods and systems are disclosed.

Claim (Index 9):
The method of  claim 8 , wherein identifying one or more historic standards includes:\n generating a plurality of historical questions associated with a software development process of a software program during a software development stage in which the software program is created, wherein a historical question of the plurality of historical questions requests information to assess software development risk associated with a particular software development activity, wherein generating the plurality of historical questions includes generating a historical question for a churn; associating the plurality of historical questions with a plurality of risk factor models and a plurality of risk factor weightings, wherein the associating includes increasing a risk factor based on a churn risk factor response to the risk factor question for the churn, a churn risk being a dynamic risk that is generated at each gate, the plurality of risk factors including at least one static risk factor that is generated at only one gate; categorizing, by the computer processor of the development server, the plurality of risk factor questions into risk categories including at least one key staff, project, scope, gate and project schedule; and receiving, by the computer processor of a development server from a user device over a computer network, a plurality of risk factor responses associated with the software development process of the software program at each of a plurality of gates in the software development stage, a risk factor response of the plurality of risk factor responses being a response to the risk factor question, a risk factor being associated with the risk factor response and reflecting a quantitative software development risk associated with the software development process; and respectively associating, by the computer processor of the development server, a plurality of risk factors with a plurality of risk factor models and a plurality of risk factor weightings, the plurality of risk factors including the risk factor, a risk factor model of the plurality of risk factor models reflecting a mathematical relationship between the risk factor and a risk factor weighting; comparing a measurement of (i) the plurality of risks factors, (ii) weighting factors, and (iii) a determination of probabilities of introducing defects into the software program against historically derived standards and/or historically derived data using information of the plurality of risk factors associated with (i) at least one prior development project, (ii) prior development segments, and (iii) outcomes associated with the at least one prior development project or the prior development segments.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 88.0
- Lexical Diversity: 2.5
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14256473', '15248229', '13902034', '12558147', '11762113']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4044833314694624
- 35 USC 102 Novelty (BERT): 0.5197615090350706
- Combined Prediction Score: 0.4160111492260233
- Mean Citation Score: 201.011286
- Max Citation Score: 276.9711
- Similarity Product: 202.0565410128236

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test