University of Leicester
Browse
paper-final.pdf (1.31 MB)

Data-Driven Search-based Software Engineering

Download (1.31 MB)
conference contribution
posted on 2018-05-29, 10:13 authored by Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro Minku, Markus Wagner, Zhe Yu
This paper introduces Data-Driven Search-based Software Engineering (DSE), which combines insights from Mining Software Repositories (MSR) and Search-based Software Engineering (SBSE). While MSR formulates software engineering problems as data mining problems, SBSE reformulate Software Engineering (SE) problems as optimization problems and use meta-heuristic algorithms to solve them. Both MSR and SBSE share the common goal of providing insights to improve software engineering. The algorithms used in these two areas also have intrinsic relationships. We, therefore, argue that combining these two fields is useful for situations (a) which require learning from a large data source or (b) when optimizers need to know the lay of the land to find better solutions, faster. This paper aims to answer the following three questions: (1) What are the various topics addressed by DSE?, (2) What types of data are used by the researchers in this area?, and (3) What research approaches do researchers use? The paper briefly sets out to act as a practical guide to develop new DSE techniques and also to serve as a teaching resource. This paper also presents a resource (tiny.cc/data-se) for exploring DSE. The resource contains 89 artifacts which are related to DSE, divided into 13 groups such as requirements engineering, software product lines, software processes. All the materials in this repository have been used in recent software engineering papers; i.e., for all this material, there exist baseline results against which researchers can comparatively assess their new ideas.

Funding

Dr. Minku's work has been partly supported by EPSRC Grant No. EP/R006660/1.

History

Citation

Mining Software Repositories (MSR) ’18, 2018, pp. 341-352

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics

Source

Mining Software Repositories (MSR) ’18, Gothenburg, Sweden

Version

  • AM (Accepted Manuscript)

Published in

Mining Software Repositories (MSR) ’18

Publisher

Association for Computing Machinery (ACM)

isbn

978-1-4503-5716-6/18/05

Acceptance date

2018-03-13

Copyright date

2018

Available date

2019-01-10

Publisher version

https://dl.acm.org/citation.cfm?doid=3196398.3196442

Temporal coverage: start date

2018-05-28

Temporal coverage: end date

2018-05-28

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC