2009•Unpublished venueRequires access

Quality of Code Can Be Planned and Automatically Controlled

Yegor Bugayenko

Open publisher page 1 citations

Abstract

Quality of code is an important and critical health indicator of any software development project. However, due to the complexity and ambiguousness of calculating this indicator it is rarely used in commercial contracts. As programmers are much more motivated with respect to the delivery of functionality than quality of code beneath it,they often produce low quality code, which leads to post-delivery and maintenance problems. The proposed mechanism eliminates this lack of attention to quality of code. The results achieved after the implementation of the mechanism are more motivated programmers, higher project sponsor confidence and a predicted quality of code.

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What this paper is about

Quality of code is an important and critical health indicator of any software development project. However, due to the complexity and ambiguousness of calculating this indicator it is rarely used in commercial contracts. As programmers are much more motivated with respect to the delivery of functionality than quality of code beneath it,they often produce low quality code, which leads to post-delivery and maintenance problems. The proposed mechanism eliminates this lack of attention to quality of code. The results achieved after the implementation of the mechanism are more motivated programmers, higher project sponsor confidence and a predicted quality of code.

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Available abstract

Quality of code is an important and critical health indicator of any software development project. However, due to the complexity and ambiguousness of calculating this indicator it is rarely used in commercial contracts. As programmers are much more motivated with respect to the delivery of functionality than quality of code beneath it,they often produce low quality code, which leads to post-delivery and maintenance problems. The proposed mechanism eliminates this lack of attention to quality of code. The results achieved after the implementation of the mechanism are more motivated programmers, higher project sponsor confidence and a predicted quality of code.

Key concepts: Computer science, Software quality, Code (set theory), Quality (philosophy), Code review, KPI-driven code analysis, Source code, Static program analysis

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