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What makes agile test artifacts useful? : An activity-based quality model from a practitioners' perspective

Fischbach, Jannik (author)
Qualicen GmbH, DEU
Femmer, Henning (author)
Qualicen GmbH, DEU
Mendez, Daniel (author)
Blekinge Tekniska Högskola,Institutionen för programvaruteknik
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Fucci, Davide, 1985- (author)
Blekinge Tekniska Högskola,Institutionen för programvaruteknik
Vogelsang, Andreas (author)
University of Cologne, DEU
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 (creator_code:org_t)
2020-10-23
2020
English.
In: International Symposium on Empirical Software Engineering and Measurement. - New York, NY, USA : IEEE Computer Society. - 9781450375801
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Background: The artifacts used in Agile software testing and the reasons why these artifacts are used are fairly well-understood. However, empirical research on how Agile test artifacts are eventually designed in practice and which quality factors make them useful for software testing remains sparse. Aims: Our objective is two-fold. First, we identify current challenges in using test artifacts to understand why certain quality factors are considered good or bad. Second, we build an Activity-Based Artifact Quality Model that describes what Agile test artifacts should look like. Method: We conduct an industrial survey with 18 practitioners from 12 companies operating in seven different domains. Results: Our analysis reveals nine challenges and 16 factors describing the quality of six test artifacts from the perspective of Agile testers. Interestingly, we observed mostly challenges regarding language and traceability, which are well-known to occur in non-Agile projects. Conclusions: Although Agile software testing is becoming the norm, we still have little confidence about general do's and don'ts going beyond conventional wisdom. This study is the first to distill a list of quality factors deemed important to what can be considered as useful test artifacts. © 2020 IEEE Computer Society. All rights reserved.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Keyword

Agile testing
Artifact quality
Industrial survey
Surveys
Well testing
Activity-based
Different domains
Empirical research
Industrial surveys
Quality factors
Quality modeling
Software testing

Publication and Content Type

ref (subject category)
kon (subject category)

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