Performance measures on each project were also collected using questionnaires, such as the ability to meet budget commitments and staff productivity. Assessments using ISO/IEC 15504 were conducted on projects world wide over a period of two years. predictive validity of the capability measures of the ISO/IEC 15504 software development processes (i.e., develop software design, implement software design, and integrate and test).
This paper describes an empirical study that evaluates the. A basic premise of the measurement scale is that higher process capability is associated with better project performance (i.e., predictive validity). It defines a number of software engineering processes, and a scale for measuring their capability. ISO/IEC 15504 is an emerging international standard on software process assessment. Further, CER could be utilized to explore best practices across large-scale project set.
Based on the model, we design and implement a code evolution review framework, i.e., Code Evolution Reviewer (CER), which provides a series of data interfaces to review code evolution history, in particular, code version changing in single project and code reuse among projects. In the model, files/modules are built as nodes, and relations (version change or reuse) between files/modules are built as connections. We consider code evolution from two aspects: code version changing history in a single project and code reuse history in the whole universe. In this study, we target the open source software universe to build a universal code evolution model for large-scale data. difficulty of collecting and standardizing data, most existing work could only utilize small project set. Exploring this history could help practitioners to reuse the best practices therefore improve productivity and software quality. Evolution history recorded in software repositories, e.g., Version Control Systems, reflects people's software development practice.
Software evolves all the time because of the changing requirements, in particular, in the diverse Internet environment.
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