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Learning from software

Published: 19 February 2008 Publication History

Abstract

During software development and maintenance, programmers conduct several activities--tracking bug reports, changing the software, discussing features, or running tests. As more and more of these activities are organized using tools, they leave data behind that is automatically accessible in software archives such as change or bug databases. By data mining these archives, one can leverage the resulting patterns and rules to increase program quality and programmer productivity.
Analyzing software engineering data is, of course, a standard practice in empirical software engineering. What is new, though, is that we can now automate current empirical approaches. This leads to automated assistance in all development decisions for programmers and managers alike: "For this task, you should collaborate with Joe, because it will likely require risky work on the 'Mailbox' class."

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  • (2011)A Lightweight Approach to Uncover Technical Artifacts in Unstructured DataProceedings of the 2011 IEEE 19th International Conference on Program Comprehension10.1109/ICPC.2011.36(185-188)Online publication date: 22-Jun-2011

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cover image ACM Conferences
ISEC '08: Proceedings of the 1st India software engineering conference
February 2008
164 pages
ISBN:9781595939173
DOI:10.1145/1342211
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 February 2008

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  1. mining software archives

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  • Keynote

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ISEC08
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ISEC08: India Software Engineering Conference
February 19 - 22, 2008
Hyderabad, India

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Overall Acceptance Rate 76 of 315 submissions, 24%

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Cited By

View all
  • (2011)A Lightweight Approach to Uncover Technical Artifacts in Unstructured DataProceedings of the 2011 IEEE 19th International Conference on Program Comprehension10.1109/ICPC.2011.36(185-188)Online publication date: 22-Jun-2011

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