Using testing trace for automatic user categorization

J. Jenny Li, David M. Weiss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Testing has always been an indispensable part of software development. With the increasing amount of testing, the volume of data and information generated from testing grows substantially. The question arises on how to take advantage of the testing data, besides traditional coverage and debugging. In this paper, we propose an approach of using test trace data of a software application to its run-time user categorization. It collects test execution trace of programs studied by the software tool, and derives internal metrics of different categories from the trace information. During run time, we look at the user's artifacts as well as the user's behavior to categorize them into predetermined groups and serve them accordingly. Our work in-progress is to apply this method to a software product line, PolyFlow, including a web service that generates, runs, and analyzes test cases of programs under study. One benefit of our method is that it does not require storage of user profiles.

Original languageEnglish
Title of host publicationProceedings of the 2009 ICSE Workshop on Automation of Software Test, AST 2009
Pages144-148
Number of pages5
DOIs
StatePublished - 2009
Event2009 ICSE Workshop on Automation of Software Test, AST 2009 - Vancouver, BC, Canada
Duration: 16 May 200924 May 2009

Publication series

NameProceedings of the 2009 ICSE Workshop on Automation of Software Test, AST 2009

Conference

Conference2009 ICSE Workshop on Automation of Software Test, AST 2009
Country/TerritoryCanada
CityVancouver, BC
Period16/05/0924/05/09

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