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Towards Generation of Software Development Tasks.

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Title: Towards Generation of Software Development Tasks.
Authors: Thompson, C. Albert1 leetcat@cs.ubc.ca
Source: ICSE: International Conference on Software Engineering. 2015, p915-918. 4p.
Subjects: Computer software research, Development of application software, Computer software developers, Artificial intelligence, Data mining
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. [ABSTRACT FROM AUTHOR]
Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/ICSE.2015.291
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        Text: English
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      – SubjectFull: Computer software research
        Type: general
      – SubjectFull: Development of application software
        Type: general
      – SubjectFull: Computer software developers
        Type: general
      – SubjectFull: Artificial intelligence
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      – SubjectFull: Data mining
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      – TitleFull: Towards Generation of Software Development Tasks.
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              Text: 2015
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              Y: 2015
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            – TitleFull: ICSE: International Conference on Software Engineering
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