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Analysis Of Software Complexity Measures For Regression Testing
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1Analysis Of Software Complexity Measures For Regression Testing
Software metrics is applied evaluating and assuring software code quality, it requires a model to convert internal quality attributes to code reliability. High degree of complexity in a component (function, subroutine, object, class etc.) is bad in comparison to a low degree of complexity in a component. Various internal codes attribute which can be used to indirectly assess code quality. In this paper, we analyze the software complexity measures for regression testing which enables the tester/developer to reduce software development cost and improve testing efficacy and software code quality. This analysis is based on a static analysis and different approaches presented in the software engineering literature.
“Analysis Of Software Complexity Measures For Regression Testing” Metadata:
- Title: ➤ Analysis Of Software Complexity Measures For Regression Testing
- Language: English
“Analysis Of Software Complexity Measures For Regression Testing” Subjects and Themes:
- Subjects: Software Complexity - Software Metrics - Regression Testing - Control Flow Metrics1
Edition Identifiers:
- Internet Archive ID: indexing_theides_158
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The book is available for download in "texts" format, the size of the file-s is: 3.66 Mbs, the file-s for this book were downloaded 972 times, the file-s went public at Sat Jun 29 2013.
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