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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bhattacharya, P. Neamtiu, I. |
| Copyright Year | 2011 |
| Description | Author affiliation: University of California, Riverside, Riverside, CA, USA (Bhattacharya, P.; Neamtiu, I.) |
| Abstract | Billions of dollars are spent every year for building and maintaining software. To reduce these costs we must identify the key factors that lead to better software and more productive development. One such key factor, and the focus of our paper, is the choice of programming language. Existing studies that analyze the impact of choice of programming language suffer from several deficiencies with respect to methodology and the applications they consider. For example, they consider applications built by different teams in different languages, hence fail to control for developer competence, or they consider small-sized, infrequently-used, short-lived projects. We propose a novel methodology which controls for development process and developer competence, and quantifies how the choice of programming language impacts software quality and developer productivity. We conduct a study and statistical analysis on a set of long-lived, widely-used, open source projects - Firefox, Blender, VLC, and MySQL. The key novelties of our study are: (1) we only consider projects which have considerable portions of development in two languages, C and C++, and (2) a majority of developers in these projects contribute to both C and C++ code bases. We found that using C++ instead of C results in improved software quality and reduced maintenance effort, and that code bases are shifting from C to C++. Our methodology lays a solid foundation for future studies on comparative advantages of particular programming languages. |
| Starting Page | 171 |
| Ending Page | 180 |
| File Size | 1959462 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450304450 |
| ISSN | 02705257 |
| e-ISBN | 9781450304450 |
| DOI | 10.1145/1985793.1985817 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-21 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Software Fires Complexity theory Testing Computer bugs Measurement Maintenance engineering software quality developer productivity empirical studies high-level languages software evolution |
| Content Type | Text |
| Resource Type | Article |
| Subject | Software |
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