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Adapting Behavior Driven Development (BDD) for large-scale software systems
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik. Ericsson AB, Sweden.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.ORCID-id: 0000-0002-7220-9570
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.ORCID-id: 0000-0002-1532-8223
2021 (engelsk)Inngår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 177, artikkel-id 110944Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Context: Large-scale software projects require interaction between many stakeholders. Behavior-driven development (BDD) facilitates collaboration between stakeholders, and an adapted BDD process can help improve cooperation in a large-scale project. Objective: The objective of this study is to propose and empirically evaluate a BDD based process adapted for large-scale projects. Method: A technology transfer model was used to propose a BDD based process for large-scale projects. We conducted six workshop sessions to understand the challenges and benefits of BDD. Later, an industrial evaluation was performed for the process with the help of practitioners. Results: From our investigations, understanding of a business aspect of requirements, their improved quality, a guide to system-level use-cases, reuse of artifacts, and help for test organization are found as benefits of BDD. Practitioners identified the following challenges: specification and ownership of behaviors, adoption of new tools, the software projects’ scale, and versioning of behaviors. We proposed a process to address these challenges and evaluated the process with the help of practitioners. Conclusion: The evaluation proved that BDD could be adapted and used to facilitate interaction in large-scale software projects in the software industry. The feedback from the practitioners helped in improving the proposed process. © 2021 The Author(s)

sted, utgiver, år, opplag, sider
Elsevier, 2021. Vol. 177, artikkel-id 110944
Emneord [en]
BDD, Behavior-driven, Large-scale, Software processes, System of systems, Boolean functions, Software engineering, Technology transfer, Business aspects, Industrial evaluations, Large-scale projects, Large-scale software projects, Large-scale software systems, Software industry, Software project, System levels, Large scale systems
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-21320DOI: 10.1016/j.jss.2021.110944ISI: 000641355800005Scopus ID: 2-s2.0-85103117256OAI: oai:DiVA.org:bth-21320DiVA, id: diva2:1543163
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open access

Tilgjengelig fra: 2021-04-09 Laget: 2021-04-09 Sist oppdatert: 2023-06-07bibliografisk kontrollert
Inngår i avhandling
1. Realizing the systematic reuse of automated acceptance tests in practice
Åpne denne publikasjonen i ny fane eller vindu >>Realizing the systematic reuse of automated acceptance tests in practice
2021 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Context: Automated acceptance testing has become a relevant practice of agile software development (e.g., Extreme Programming). Automated acceptance tests (AATs) are closely tied to requirements and provide a mechanism for continuous validation of requirements as system-level tests. Studies have shown that these tests are costly to develop, maintain, and reuse.

Objectives: This thesis examines and supports the systematic reuse of automated acceptance tests by providing approaches to search, identity, adapt reusable test cases while considering the reuse costs. Additionally, the maintainability and usage of automated acceptance tests in largescale software projects are studied.

Method: We used various research methods to investigate development, reuse, and maintaining the automated acceptance tests. Workshops and interviews of practitioners were used to identify the benefits and challenges of automated acceptance tests. Next, method engineering was used to construct a systematic reuse process for automated acceptance tests. Qualitative feedback collected using a survey, and industrial demonstration examined the reuse process’s performance expectancy, effort expectancy, and necessary facilitating conditions. Two systematic literature reviews are used to identify techniques to adapt tests for future reuse opportunities and calculate the reuse costs of automated acceptance tests. Later, we developed and evaluated an approach for refactoring behavior-driven development-based automated acceptance tests using action research.

Results: A cost-aware systematic reuse process was constructed to support the reuse of automated acceptance tests containing eleven activities. For each activity, guidelines on expected input, expected output, the actors performing the activity, and techniques (automated using scripts) are suggested and evaluated. The techniques involve approaches to support development for reuse and methods to calculate the costs of reusing automated acceptance tests. The industrial evaluation of the reuse process and the techniques showed its usefulness and relevance for the industry. Furthermore, seven challenges (i.e., the scale of the software projects, ownership, lack of competence, cost benefits, specification of behaviors in large-scale projects, difficulty writing system-level test-cases, and versioning control of behaviors) and five benefits (i.e., understanding of a business aspect of requirements, improved quality of requirements, a guide to system-level use-cases, reuse of artifacts in large-scale projects, and help for test organization.) of using automated acceptance tests in large-scale projects are identified with software practitioners’ help. Later, we proposed a semiautomated four-step approach for pre-processing, measuring, ranking, and identifying refactoring candidates. The approach and the two proposed measures were successfully evaluated using two industrial projects. It was noted that similarity measures could support the maintenance of the specification base using refactoring.

Conclusions: The studies show that automated acceptance tests are reusable and can be refactored using our proposed approach. The evaluation shows that the results apply to the software industry in the evaluated context. However, further work is required to evaluate the reuse process in different contexts.

sted, utgiver, år, opplag, sider
Karlskrona: Blekinge Tekniska Högskola, 2021. s. 306
Serie
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 5
Emneord
Reuse, Software Engineering, Development, Testing
HSV kategori
Forskningsprogram
Programvaruteknik
Identifikatorer
urn:nbn:se:bth-21999 (URN)978-91-7295-425-0 (ISBN)
Disputas
2021-09-23, J1630, BTH, Campus Gräsvik, Karlskrona, 13:00 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2021-08-09 Laget: 2021-08-08 Sist oppdatert: 2021-08-23bibliografisk kontrollert

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