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SERP-test: a taxonomy for supporting industry–academia communication

Engström, Emelie LU ; Petersen, Kai; Ali, Nauman Bin and Bjarnason, Elizabeth LU (2016) In Software Quality Journal
Abstract
This paper presents the construction and evaluation of SERP-test, a taxonomy aimed to improve communication between researchers and practitioners in the area of software testing. SERP-test can be utilized for direct communication in industry academia collaborations. It may also facilitate indirect communication between practitioners adopting software engineering research and researchers who are striving for industry relevance. SERP-test was constructed through a systematic and goal-oriented approach which included literature reviews and interviews with practitioners and researchers. SERP-test was evaluated through an online survey and by utilizing it in an industry–academia collaboration project. SERP-test comprises four facets along which... (More)
This paper presents the construction and evaluation of SERP-test, a taxonomy aimed to improve communication between researchers and practitioners in the area of software testing. SERP-test can be utilized for direct communication in industry academia collaborations. It may also facilitate indirect communication between practitioners adopting software engineering research and researchers who are striving for industry relevance. SERP-test was constructed through a systematic and goal-oriented approach which included literature reviews and interviews with practitioners and researchers. SERP-test was evaluated through an online survey and by utilizing it in an industry–academia collaboration project. SERP-test comprises four facets along which both research contributions and practical challenges may be classified: Intervention, Scope, Effect target and Context constraints. This paper explains the available categories for each of these facets (i.e., their definitions and rationales) and presents examples of categorized entities. Several tasks may benefit from SERP-test, such as formulating research goals from a problem perspective, describing practical challenges in a researchable fashion, analyzing primary studies in a literature review, or identifying relevant points of comparison and generalization of research. (Less)
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author
organization
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type
Contribution to journal
publication status
epub
subject
in
Software Quality Journal
pages
37 pages
publisher
Springer
external identifiers
  • Scopus:84976367380
ISSN
0963-9314
DOI
10.1007/s11219-016-9322-x
language
English
LU publication?
yes
id
ae9e97f6-324f-40ea-9377-50a4637fba5c
date added to LUP
2016-07-06 22:06:35
date last changed
2017-01-10 14:24:27
@article{ae9e97f6-324f-40ea-9377-50a4637fba5c,
  abstract     = {This paper presents the construction and evaluation of SERP-test, a taxonomy aimed to improve communication between researchers and practitioners in the area of software testing. SERP-test can be utilized for direct communication in industry academia collaborations. It may also facilitate indirect communication between practitioners adopting software engineering research and researchers who are striving for industry relevance. SERP-test was constructed through a systematic and goal-oriented approach which included literature reviews and interviews with practitioners and researchers. SERP-test was evaluated through an online survey and by utilizing it in an industry–academia collaboration project. SERP-test comprises four facets along which both research contributions and practical challenges may be classified: Intervention, Scope, Effect target and Context constraints. This paper explains the available categories for each of these facets (i.e., their definitions and rationales) and presents examples of categorized entities. Several tasks may benefit from SERP-test, such as formulating research goals from a problem perspective, describing practical challenges in a researchable fashion, analyzing primary studies in a literature review, or identifying relevant points of comparison and generalization of research.},
  author       = {Engström, Emelie and Petersen, Kai and Ali, Nauman Bin and Bjarnason, Elizabeth},
  issn         = {0963-9314},
  language     = {eng},
  month        = {06},
  pages        = {37},
  publisher    = {Springer},
  series       = {Software Quality Journal},
  title        = {SERP-test: a taxonomy for supporting industry–academia communication},
  url          = {http://dx.doi.org/10.1007/s11219-016-9322-x},
  year         = {2016},
}