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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Smit, M. Gergel, B. Hoover, H.J. Stroulia, E. |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Computing Science, University of Alberta, Edmonton, Canada (Smit, M.; Gergel, B.; Hoover, H.J.; Stroulia, E.) |
| Abstract | Maintainability is a desired property of software, and a variety of metrics have been proposed for measuring it, focusing on different notions of complexity and code readability. Many practices have been proposed to improve maintainability through code refactorings: improving the cohesion, simplification of interfaces, renamings to improve understandability. Code conventions are a body of advice on lexical and syntactic aspects of code, aiming to standardize low-level code design under the assumption that such a systematic approach will make code easier to read, understand, and maintain. We present the first stage in our examination of code-convention adherence practices as a proxy measurement for maintainability. Based on a preliminary survey of software engineers, we identify a set of coding conventions that most relate to maintainability. Then we devise a “convention adherence” metric, based on the number and severity of violations of a defined coding convention. Finally, we analyze several open-source projects according to this metric to better understand how consistent different teams are with respect to adopting and conforming to code conventions. |
| Starting Page | 504 |
| Ending Page | 507 |
| File Size | 349742 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457706639 |
| ISSN | 10636773 |
| e-ISBN | 9781457706646 |
| e-ISBN | 9781457706622 |
| DOI | 10.1109/ICSM.2011.6080819 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software Correlation Measurement Complexity theory Maintenance engineering Best practices Encoding |
| Content Type | Text |
| Resource Type | Article |
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