Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A fundamental goal of software engineering practice is to ensure that code quality is maintained throughout its lifetime. Measuring and maintaining the quality of test code should be as important as measuring production (in-the-field) code. Hover, test code often seems to be a second class citizen compared to production code in terms of its upkeep and general maintenance. Many of the code features  might expect in test code are either absent or, included when they should not be. ,  investigate four releases of an industrial embedded multi-core system from four perspectives and compare results for test code with corresponding production code. The four perspectives  considered as indicators of code quality. Firstly,  looked at whether test and production code conformed to a set of in-house designated design rules. Secondly,  explored whether test code contained a reasonable proportion of comment to code lines ratio relative to production code. Thirdly,  examined test and production code and the number of assertions in that code. Finally  investigated the relationship beten faults and code features. In terms of results, test code did not fare ll when compared with production code. An interesting and startling result related to the use of assertions, they re used liberally in test and production code. Hover, their effect, if triggered, was much larger in production code.
['Steve Counsell', 'Giuseppe Destefanis', 'Xiaohui Liu', 'Sigrid Eldh', 'Andreas Ermedahl', 'Kenneth Andersson']
I am writing a research paper on a idea Comparing Test and Production Code Quality in a Large Commercial Multicore System
[{"from": "human", "value": "I am writing a research paper on a idea Comparing Test and Production Code Quality in a Large Commercial Multicore System"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A fundamental goal of software engineering practice is to ensure that code quality is maintained throughout its lifetime. Measuring and maintaining the quality of test code should be as important as measuring production (in-the-field) code. Hover, test code often seems to be a second class citizen compared to production code in terms of its upkeep and general maintenance. Many of the code features  might expect in test code are either absent or, included when they should not be. ,  investigate four releases of an industrial embedded multi-core system from four perspectives and compare results for test code with corresponding production code. The four perspectives  considered as indicators of code quality. Firstly,  looked at whether test and production code conformed to a set of in-house designated design rules. Secondly,  explored whether test code contained a reasonable proportion of comment to code lines ratio relative to production code. Thirdly,  examined test and production code and the number of assertions in that code. Finally  investigated the relationship beten faults and code features. In terms of results, test code did not fare ll when compared with production code. An interesting and startling result related to the use of assertions, they re used liberally in test and production code. Hover, their effect, if triggered, was much larger in production code."}]