Blogs (1) >>
ICSE 2019
Sat 25 - Fri 31 May 2019 Montreal, QC, Canada
Fri 31 May 2019 12:10 - 12:20 at Laurier - Defect Prediction Chair(s): Burak Turhan

The ability of predicting failures before their occurrence is a fundamental enabler for reducing field failures and improving the reliability of complex software systems. Recent research proposes many techniques to detect anomalous values of system metrics, and demonstrates that collective anomalies are a good symptom of failure-prone states. In this paper (i) we observe the analogy of complex software systems with multi-particle and network systems, (ii) propose to use energy-based models commonly exploited in physics and statistical mechanics to precisely reveal failure-prone behaviors without training with seeded errors, and (iii) present some preliminary experimental results that show the feasibility of our approach.

Fri 31 May

Displayed time zone: Eastern Time (US & Canada) change

11:00 - 12:30
11:00
10m
Talk
Perceptions, Expectations, and Challenges in Defect PredictionJournal-First
Journal-First Papers
Zhiyuan Wan Zhejiang University, Xin Xia Monash University, Ahmed E. Hassan Queen's University, David Lo Singapore Management University, Jianwei Yin , Xiaohu Yang
11:10
20m
Talk
Mining Software Defects: Should We Consider Affected Releases?Artifacts AvailableArtifacts Evaluated ReusableTechnical Track
Technical Track
Suraj Yatish The University of Adelaide, Jirayus Jiarpakdee Monash University, Patanamon Thongtanunam The University of Melbourne, Chakkrit Tantithamthavorn Monash University, Australia
11:30
20m
Talk
Class Imbalance Evolution and Verification Latency in Just-in-Time Software Defect PredictionTechnical Track
Technical Track
George Cabral University of Birmingham, Leandro Minku , Emad Shihab Concordia University, Suhaib Mujahid Concordia University
11:50
10m
Talk
The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction ModelsJournal-First
Journal-First Papers
Chakkrit Tantithamthavorn Monash University, Australia, Ahmed E. Hassan Queen's University, Kenichi Matsumoto Nara Institute of Science and Technology
Pre-print
12:00
10m
Talk
On the Relative Value of Data Resampling Approaches for Software Defect PredictionJournal-First
Journal-First Papers
Kwabena E. Bennin Blekinge Institute of Technology, SERL Sweden, Jacky Keung , Akito Monden
Authorizer link
12:10
10m
Talk
Energy-Based Anomaly Detection A New Perspective for Predicting Software FailuresNIER Distinguished Paper AwardNIER
New Ideas and Emerging Results
Cristina Monni Università della Svizzera Italiana, Mauro Pezze Università della Svizzera italiana (USI) (Switzerland) and Università degli Studi di Milano Bicocca (Italy)
Pre-print
12:20
10m
Talk
Discussion Period
Papers