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ICSE 2021
Mon 17 May - Sat 5 June 2021

Mutation analysis has many applications, such as assessing the quality of test cases, fault localization, test input generation, security analysis, etc. Such applications involve running test suite against a large number of program mutants leading to poor scalability. Much research has been aimed at speeding up this process, focusing on reducing the number of mutants, the number of executed tests, or the execution time of the mutants. This paper presents a novel approach, named MeMu, for reducing the execution time of the mutants, by memoizing the most expensive methods in the system. Memoization is an optimization technique that allows bypassing the execution of expensive methods, when repeated inputs are detected. MeMu can be used in conjunction with existing acceleration techniques. We implemented MeMu on top of PITest, a well-known JVM bytecode-level mutation analysis system, and obtained, on average, an 18.15% speed-up over PITest, in the execution time of the mutants for 12 real-world programs. These promising results and the fact that MeMu could also be used for other applications that involve repeated execution of tests (e.g., automatic program repair and regression testing), strongly support future research for improving its efficiency.

Thu 27 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

16:30 - 17:25
16:30
20m
Paper
Killing Stubborn Mutants with Symbolic ExecutionJournal-First
Journal-First Papers
Thierry Titcheu Chekam SES S.A. & University of Luxembourg (SnT), Mike Papadakis University of Luxembourg, Luxembourg, Maxime Cordy University of Luxembourg, Luxembourg, Yves Le Traon University of Luxembourg, Luxembourg
Link to publication Pre-print Media Attached
16:50
15m
Short-paper
Toward Speeding up Mutation Analysis by Memoizing Expensive MethodsNIER
NIER - New Ideas and Emerging Results
Ali Ghanbari The University of Texas at Dallas, Andrian Marcus University of Texas at Dallas
Pre-print Media Attached
17:05
20m
Paper
What It Would Take to Use Mutation Testing in Industry—A Study at FacebookSEIP
SEIP - Software Engineering in Practice
Moritz Beller Facebook, Inc., Chu-Pan Wong Carnegie Mellon University, USA, Johannes Bader Jane Street, Andrew Scott Facebook, Mateusz Machalica Facebook, Inc., Satish Chandra Facebook, USA, Erik Meijer Facebook
Pre-print Media Attached

Fri 28 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

04:30 - 05:25
04:30
20m
Paper
Killing Stubborn Mutants with Symbolic ExecutionJournal-First
Journal-First Papers
Thierry Titcheu Chekam SES S.A. & University of Luxembourg (SnT), Mike Papadakis University of Luxembourg, Luxembourg, Maxime Cordy University of Luxembourg, Luxembourg, Yves Le Traon University of Luxembourg, Luxembourg
Link to publication Pre-print Media Attached
04:50
15m
Short-paper
Toward Speeding up Mutation Analysis by Memoizing Expensive MethodsNIER
NIER - New Ideas and Emerging Results
Ali Ghanbari The University of Texas at Dallas, Andrian Marcus University of Texas at Dallas
Pre-print Media Attached
05:05
20m
Paper
What It Would Take to Use Mutation Testing in Industry—A Study at FacebookSEIP
SEIP - Software Engineering in Practice
Moritz Beller Facebook, Inc., Chu-Pan Wong Carnegie Mellon University, USA, Johannes Bader Jane Street, Andrew Scott Facebook, Mateusz Machalica Facebook, Inc., Satish Chandra Facebook, USA, Erik Meijer Facebook
Pre-print Media Attached