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A family of experim...
A family of experiments on test-driven development
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- Santos, Adrian (author)
- University of Oulu, FIN
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- Vegas, Sira (author)
- Universidad Politécnica de Madrid, ESP
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- Dieste, Oscar (author)
- ETAPA, ECU
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- Uyaguari, Fernando (author)
- ETAPA, ECU
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- Tosun, Ayse (author)
- Istanbul Technical University, TUR
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- Fucci, Davide, 1985- (author)
- Blekinge Tekniska Högskola,Institutionen för programvaruteknik
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- Turhan, Burak (author)
- University of Oulu, FIN
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- Scanniello, Giuseppe (author)
- University of Basilicata, ITA
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- Romano, Simone (author)
- University of Bari, ITA
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- Karac, Itir (author)
- University of Oulu, FIN
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- Kuhrmann, Marco (author)
- University of Passau, DEU
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- Mandić, Vladimir (author)
- University of Novi Sad, SRB
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- Ramač, Robert (author)
- University of Novi Sad, SRB
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- Pfahl, Dietmar (author)
- University of Tartu, EST
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- Engblom, Christian (author)
- Ericsson, FIN
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- Kyykka, Jarno (author)
- Ericsson, FIN
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- Rungi, Kerli (author)
- Testlio, Tartu, EST
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- Palomeque, Carolina (author)
- ETAPA, ECU
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- Spisak, Jaroslav (author)
- Paf, FIN
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- Oivo, Markku (author)
- University of Oulu, FIN
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- Juristo, Natalia (author)
- Universidad Politécnica de Madrid, ESP
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(creator_code:org_t)
- 2021-03-23
- 2021
- English.
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In: Empirical Software Engineering. - : Springer. - 1382-3256 .- 1573-7616. ; 26:3
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Abstract
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- Context:: Test-driven development (TDD) is an agile software development approach that has been widely claimed to improve software quality. However, the extent to which TDD improves quality appears to be largely dependent upon the characteristics of the study in which it is evaluated (e.g., the research method, participant type, programming environment, etc.). The particularities of each study make the aggregation of results untenable. Objectives:: The goal of this paper is to: increase the accuracy and generalizability of the results achieved in isolated experiments on TDD, provide joint conclusions on the performance of TDD across different industrial and academic settings, and assess the extent to which the characteristics of the experiments affect the quality-related performance of TDD. Method:: We conduct a family of 12 experiments on TDD in academia and industry. We aggregate their results by means of meta-analysis. We perform exploratory analyses to identify variables impacting the quality-related performance of TDD. Results:: TDD novices achieve a slightly higher code quality with iterative test-last development (i.e., ITL, the reverse approach of TDD) than with TDD. The task being developed largely determines quality. The programming environment, the order in which TDD and ITL are applied, or the learning effects from one development approach to another do not appear to affect quality. The quality-related performance of professionals using TDD drops more than for students. We hypothesize that this may be due to their being more resistant to change and potentially less motivated than students. Conclusion:: Previous studies seem to provide conflicting results on TDD performance (i.e., positive vs. negative, respectively). We hypothesize that these conflicting results may be due to different study durations, experiment participants being unfamiliar with the TDD process, or case studies comparing the performance achieved by TDD vs. the control approach (e.g., the waterfall model), each applied to develop a different system. Further experiments with TDD experts are needed to validate these hypotheses. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- Academia
- Family of experiments
- Industry
- Quality
- Test-driven development
- Computer software selection and evaluation
- Iterative methods
- Quality control
- Software design
- Software quality
- Software testing
- Agile software development
- Control approach
- Development approach
- Exploratory analysis
- Learning effects
- Programming environment
- research methods
- Test driven development
- Computer programming
Publication and Content Type
- ref (subject category)
- art (subject category)
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To the university's database
- By the author/editor
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Santos, Adrian
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Vegas, Sira
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Dieste, Oscar
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Uyaguari, Fernan ...
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Tosun, Ayse
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Fucci, Davide, 1 ...
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show more...
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Turhan, Burak
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Scanniello, Gius ...
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Romano, Simone
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Karac, Itir
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Kuhrmann, Marco
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Mandić, Vladimir
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Ramač, Robert
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Pfahl, Dietmar
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Engblom, Christi ...
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Kyykka, Jarno
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Rungi, Kerli
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Palomeque, Carol ...
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Spisak, Jaroslav
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Oivo, Markku
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Juristo, Natalia
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show less...
- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Software Enginee ...
- Articles in the publication
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Empirical Softwa ...
- By the university
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Blekinge Institute of Technology