Generating Tests to Analyse DynamicallyTyped Programs The increasing popularity of dynamicallytyped programming languages, such as JavaScript or Python, requires specific support methods for developers to avoid pitfalls arising from the dynamic nature of these languages. Static analyses are frequently used but the dynamic type systems limit their applicability. Dynamic analyses, in contrast, depend on the execution of the code under analysis, and thus depend on the quality of existing tests. This quality of the test suite can be improved by the use of automated test generation but automated test generation for dynamicallytyped programming languages itself is hard due to the lack of type information in the programs. The limitations of each of these approaches will be overcome by iteratively combining test generation with static and dynamic analysis techniques for dynamicallytyped programs.

Assessment of Quality of Program Based on Static Analysis In todayu0027s world of automation, there is a growing trend towards automating even the simplest tasks. One area where this trend has not caught up is in the assignment evaluation tasks area in the education sector. Even today, many programs are manually evaluated in tests and exams. Even popular platforms like HackerRank and HackerEarth fall short in many cases as they perform checking only based on the testcases irrespective of the quality of the code written. This may lead students to learn improper coding practices. In this paper, we present a tool that not only tests a studentu0027s program based on test cases dynamically but also evaluates a program statically based on certain rules given by the teacher, thereby automating the process of evaluation and removing any possible bias and error. The main idea of this paper is to demonstrate the application of static analysis in program evaluation based on rules created by the teacher to encourage higher coding standards