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| Content Provider | ACM Digital Library |
|---|---|
| Author | Li, Shanping Lo, David Bao, Lingfeng Xing, Zhenchang Xia, Xin |
| Abstract | Software developer turnover has become a big challenge for information technology (IT) companies. The departure of key software developers might cause big loss to an IT company since they also depart with important business knowledge and critical technical skills. Understanding developer turnover is very important for IT companies to retain talented developers and reduce the loss due to developers' departure. Previous studies mainly perform qualitative observations or simple statistical analysis of developers' activity data to understand developer turnover. In this paper, we investigate whether we can predict the turnover of software developers in non-open source companies by automatically analyzing monthly self-reports. The monthly work reports in our study are from two IT companies. Monthly reports in these two companies are used to report a developer's activities and working hours in a month. We would like to investigate whether a developer will leave the company after he/she enters company for one year based on his/her first six monthly reports. |
| Starting Page | 170 |
| Ending Page | 181 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781538615447 |
| DOI | 10.1109/MSR.2017.58 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-05-20 |
| Access Restriction | Subscribed |
| Subject Keyword | Developer turnover Mining software repositories Prediction model |
| Content Type | Text |
| Resource Type | Article |
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