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- Bjarnason, ElizabethLund University,Lunds universitet,Programvarusystem,Institutionen för datavetenskap,Institutioner vid LTH,Lunds Tekniska Högskola,LTH profilområde: AI och digitalisering,LTH profilområden,LU profilområde: Naturlig och artificiell kognition,Lunds universitets profilområden,Software Engineering Research Group,Department of Computer Science,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: AI and Digitalization,LTH Profile areas,Faculty of Engineering, LTH,LU Profile Area: Natural and Artificial Cognition,Lund University Profile areas (author)
Software selection in large-scale software engineering : A model and criteria based on interactive rapid reviews
- Article/chapterEnglish2023
Publisher, publication year, extent ...
- 2023-02-28
- Springer,2023
- electronicrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:bth-24374
- https://urn.kb.se/resolve?urn=urn:nbn:se:bth-24374URI
- https://doi.org/10.1007/s10664-023-10288-wDOI
- https://lup.lub.lu.se/record/de91ce51-214c-468a-91c2-f8f744a97c39URI
Supplementary language notes
- Language:English
- Summary in:English
Part of subdatabase
- SwePubSwePub
Classification
Notes
- Context: Software selection in large-scale software development continues to be ad hoc and ill-structured. Previous proposals for software component selection tend to be technology-specific and/or do not consider business or ecosystem concerns. Objective: Our main aim is to develop an industrially relevant technology-agnostic method that can support practitioners in making informed decisions when selecting software components for use in tools or in products based on a holistic perspective of the overall environment. Method: We used method engineering to iteratively develop a software selection method for Ericsson AB based on a combination of published research and practitioner insights. We used interactive rapid reviews to systematically identify and analyse scientific literature and to support close cooperation and co-design with practitioners from Ericsson. The model has been validated through a focus group and by practical use at the case company. Results: The model consists of a high-level selection process and a wide range of criteria for assessing and for evaluating software to include in business products and tools. Conclusions: We have developed an industrially relevant model for component selection through active engagement from a company. Co-designing the model based on previous knowledge demonstrates a viable approach to industry-academia collaboration and provides a practical solution that can support practitioners in making informed decisions based on a holistic analysis of business, organisation and technical factors. © 2023, The Author(s).
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Programvaruteknik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Software Engineering hsv//eng
- Computer software selection and evaluation
- Software design
- CBSE
- Component based
- Component selection
- Ericsson
- Informed decision
- Large-scales
- Rapid review
- Software component selections
- Software selection
- Tool selection
- Iterative methods
- Component-based
Added entries (persons, corporate bodies, meetings, titles ...)
- Åberg, PatrikEricsson AB (author)
- Ali, Nauman bin,Dr.Blekinge Institute of Technology,Blekinge Tekniska Högskola,Institutionen för programvaruteknik(Swepub:bth)nal (author)
- ProgramvarusystemInstitutionen för datavetenskap (creator_code:org_t)
Related titles
- In:Empirical Software Engineering: Springer28:21382-32561573-7616
Internet link
- https://doi.org/10.1007/s10664-023-10288-wFulltext
- https://bth.diva-portal.org/smash/get/diva2:1744081/FULLTEXT01.pdffulltext:print
- http://dx.doi.org/10.1007/s10664-023-10288-wFULLTEXT
- https://urn.kb.se/resolve?urn=urn:nbn:se:bth-24374
- https://doi.org/10.1007/s10664-023-10288-w
- https://lup.lub.lu.se/record/de91ce51-214c-468a-91c2-f8f744a97c39
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