Defects4J as a Challenge Case for the Search-Based Software Engineering Community

2020 ◽  
pp. 255-261
Author(s):  
Gregory Gay ◽  
René Just
Keyword(s):  
Software Engineering ◽  
Search Based Software Engineering ◽  
Engineering Community

Search-based software engineering events in 2019

2020 ◽  
Vol 12 (4) ◽  
pp. 9-13
Author(s):  
Giovani Guizzo
Keyword(s):  
Software Engineering ◽  
Search Based Software Engineering

scholarly journals Quality Indicators in Search-based Software Engineering

2020 ◽  
Vol 29 (2) ◽  
pp. 1-29
Author(s):  
Shaukat Ali ◽  
Paolo Arcaini ◽  
Dipesh Pradhan ◽  
Safdar Aqeel Safdar ◽  
Tao Yue
Keyword(s):  
Software Engineering ◽  
Quality Indicators ◽  
Search Based Software Engineering

scholarly journals Synthesis of Code Anomalies: Revealing Design Problems in the Source Code

2020 ◽  
Author(s):  
Willian N. Oizumi ◽  
Alessandro F. Garcia
Keyword(s):  
Software Engineering ◽  
Source Code ◽  
New Technique ◽  
Software Systems ◽  
Identification Task ◽  
Software Projects ◽  
Design Problems ◽  
Engineering Community ◽  
Synthesis Technique ◽  
A New Technique

Design problems affect most software projects and make their maintenance expensive and impeditive. Thus, the identification of potential design problems in the source code – which is very often the only available and upto-date artifact in a project – becomes essential in long-living software systems. This identification task is challenging as the reification of design problems in the source code tend to be scattered through several code elements. However, stateof-the-art techniques do not provide enough information to effectively help developers in this task. In this work, we address this challenge by proposing a new technique to support developers in revealing design problems. This technique synthesizes information about potential design problems, which are materialized in the implementation under the form of syntactic and semantic anomaly agglomerations. Our evaluation shows that the proposed synthesis technique helps to reveal more than 1200 design problems across 7 industry-strength systems, with a median precision of 71% and a median recall of 78%. The relevance of our work has been widely recognized by the software engineering community through 2 awards and 7 publications in international and national venues.

A Cooperative Parallel Search-Based Software Engineering Approach for Code-Smells Detection

2014 ◽  
Vol 40 (9) ◽  
pp. 841-861 ◽  
Author(s):  
Wael Kessentini ◽  
Marouane Kessentini ◽  
Houari Sahraoui ◽  
Slim Bechikh ◽  
Ali Ouni
Keyword(s):  
Software Engineering ◽  
Parallel Search ◽  
Code Smells ◽  
Search Based Software Engineering ◽  
Engineering Approach ◽  
Cooperative Parallel Search
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