Search based software engineering for software product line engineering: a survey and directions for future work

被引：88

作者：

Harman, M. ^{[1
]}

Jia, Y. ^{[1
]}

Krinke, J. ^{[1
]}

Langdon, W. B. ^{[1
]}

Petke, J. ^{[1
]}

Zhang, Y. ^{[1
]}

机构：

[1] UCL, CREST Ctr, Malet Pl, London WC1E 6BT, England

来源：

18TH INTERNATIONAL SOFTWARE PRODUCT LINE CONFERENCE (SPLC 2014), VOL 1 | 2014年

基金：

英国工程与自然科学研究理事会;

关键词：

SBSE; SPL; Genetic Programming; Program Synthesis; GENETIC ALGORITHM; MODEL; SELECTION; MUTATION; SYSTEMS; COST;

D O I：

10.1145/2648511.2648513

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper(1) presents a survey of work on Search Based Software Engineering (SBSE) for Software Product Lines (SPLs). We have attempted to be comprehensive, in the sense that we have sought to include all papers that apply computational search techniques to problems in software product line engineering. Having surveyed the recent explosion in SBSE for SPL research activity, we highlight some directions for future work. We focus on suggestions for the development of recent advances in genetic improvement, showing how these might be exploited by SPL researchers and practitioners: Genetic improvement may grow new products with new functional and non-functional features and graft these into SPLs. It may also merge and parameterise multiple branches to cope with SPL branchmania.

引用

页码：5 / 18

页数：14

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