Developer Targeted Analytics: Supporting Software Development Decisions with Runtime Information

Author(s): J. Cito
Venue: 31st IEEE/ACM International Conference on Automated Software Engineering
Date: 2016-08-25

Type of Experiement: Other

Quality
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This is a proposal to research the effects of showing projections of how changes to a code base will affect the application when running on a cloud service. It proposes using the analytic data gathered on the currently deployed application to help developers make smarter changes to the code instead of developing in an isolated environment. Essential it is proposing an add on to existing IDES that can show the developer current run time statics of the application in order to help the developer develop code that will not harm that environment.

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