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The Best of Both Worlds: Reusable Software via Unplanned Reuse

The Best of Both Worlds: Reusable Software via Unplanned Reuse
两全其美:通过计划外重用实现可重用软件
批准号:
262097-2013
负责人:
Walker, Robert
金额:
$2.19万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
Since the 1960s, the idea of reusing pre-existing software artifacts for the development of new software artifacts has been promoted for its potential to reduce costs and improve quality. Classical software reuse demands that we predict well the future needs of software systems in order for their functionality to be modularized in an easily reused form; this is anticipated reuse. Since our ability to predict the future is not perfect, there occur cases where a developer cannot find a modularized, reusable artifact that meets their needs. A common industrial response is to copy-and-modify fragments of existing artifacts; this is unanticipated reuse. Both anticipated and unanticipated reuse approaches have benefits and weaknesses. Anticipated reuse allows us to create well-designed and well-documented software artifacts, but at high cost and without guarantee that the investment will be recouped. Unanticipated reuse permits high customizability, but can lead to poor decisions and without guarantee that important properties from the old system are preserved. This work proposes to take the good aspects of both the anticipated and unanticipated approaches and combine them, augmenting them with support for using feedback from experience to inform the design of reusable artifacts. My previous work has made unanticipated reuse much more systematic, safe, and less stressful for the developer. But the situation could be improved even more by automating many of the activities that have to happen during the process, which currently still demand much detailed investigation by a human developer. The success of this research program will see a positive transformation for industry in the way that software artifacts are constructed, comprehended, used, and improved. For academia, this work is a fundamental shift in understanding the problem of software reuse. For HQP, the program is an excellent training ground in software engineering research and practice.
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Leveraging Patterns and Interesting Anomalies through Scalable Semantic Analysis
  • 批准号:
    RGPIN-2018-03749
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.97万
  • 财政年份:
    2022
  • 负责人:
    Walker, Robert
  • 依托单位:
Leveraging Patterns and Interesting Anomalies through Scalable Semantic Analysis
  • 批准号:
    RGPIN-2018-03749
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.99万
  • 财政年份:
    2021
  • 负责人:
    Walker, Robert
  • 依托单位:
Leveraging Patterns and Interesting Anomalies through Scalable Semantic Analysis
  • 批准号:
    RGPIN-2018-03749
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.99万
  • 财政年份:
    2020
  • 负责人:
    Walker, Robert
  • 依托单位:
Leveraging Patterns and Interesting Anomalies through Scalable Semantic Analysis
  • 批准号:
    RGPIN-2018-03749
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.99万
  • 财政年份:
    2019
  • 负责人:
    Walker, Robert
  • 依托单位:
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