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| Content Provider | ACM Digital Library |
|---|---|
| Author | Thompson, C. Albert |
| Abstract | The presence of well defined fine-grained sub-tasks is important to the development process: having a fine-grained task context has been shown to allow developers to more efficiently resume work. However, determining how to break a high level task down into sub-tasks is not always straightforward. Sometimes developers lack experience, and at other times, the task definition is not clear enough to afford confident decomposition. In my research I intend to show that by using syntactic mining of past task descriptions and their decomposition, I can provide automatically derived sub-task suggestions to afford more confident task decomposition by developers. |
| Starting Page | 915 |
| Ending Page | 918 |
| Page Count | 4 |
| File Format | |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-05-16 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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