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ISSRE
2007
IEEE
15 years 8 months ago
Using Machine Learning to Support Debugging with Tarantula
Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantul...
Lionel C. Briand, Yvan Labiche, Xuetao Liu
CLUSTER
2006
IEEE
15 years 6 months ago
Autonomous recovery in componentized Internet applications
In this paper we show how to reduce downtime of J2EE applications by rapidly and automatically recovering from transient and intermittent software failures, without requiring appl...
George Candea, Emre Kiciman, Shinichi Kawamoto, Ar...
COMPSAC
2006
IEEE
16 years 15 days ago
Test Case Prioritization Using Relevant Slices
Software testing and retesting occurs continuously during the software development lifecycle to detect errors as early as possible. The sizes of test suites grow as software evolv...
Dennis Jeffrey, Neelam Gupta
ICSM
2005
IEEE
16 years 21 hour ago
Test Suite Reduction with Selective Redundancy
Software testing is a critical part of software development. Test suite sizes may grow significantly with subsequent modifications to the software over time. Due to time and res...
Dennis Jeffrey, Neelam Gupta
METRICS
2002
IEEE
15 years 11 months ago
Gemini: Maintenance Support Environment Based on Code Clone Analysis
Maintaining software systems is getting more complex and difficult task, as the scale becomes larger. It is generally said that code clone is one of the factors that make softwar...
Yasushi Ueda, Toshihiro Kamiya, Shinji Kusumoto, K...