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It Takes Three to Tango: Requirement, Outcome/data, and AI Driven Development
Chalmers University of Technology, Department of Computer Science & Engineering, Göteborg, Sweden .
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0002-7700-1816
Chalmers University of Technology, Department of Computer Science & Engineering, Göteborg, Sweden .
2018 (engelsk)Inngår i: Proceedings of the International Workshop on Software-intensive Business: Start-ups, Ecosystems and Platforms (SiBW 2018), CEUR-WS.org , 2018, s. 177-192Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Today’s software-intensive organizations are experiencing a paradigm-shift with regards to how to develop software systems. With the increasing availability and access to data and with artificial intelligence (AI) and technologies such as machine learning and deep learning emerging, the traditional requirement driven approach to software development is becoming complemented with other approaches. In addition to having development teams executing on requirements specified by product management, the development of software systems is progressing towards a data driven practice where teams receive an outcome to realize and where design decisions are taken based on continuous collection and analysis of data. On top of this, and due to artificial intelligence components being introduced to more and more software systems, learning algorithms, automatically generated models and data is replacing code and the development process is no longer only a manual effort but instead a combination of human and automated processes. In this paper, and based on multi-case study research in embedded systems and online companies, we see that companies use different approaches to software development but that they often take a requirement driven approach even if they would benefit from one of the other two. Also, we see that picking the wrong approach results in a number of problems such as e.g. inefficiency and waste of development efforts. To help address these problems, we develop a holistic development framework and we provide guidelines on how to improve effectiveness in development. The contribution of this paper is two-fold. First, we identify that there are three distinct approaches to software development; (1) Requirement driven development, (2) Outcome/data driven development and (3) AI driven development and we outline the typical problems that companies experience when using the wrong approach for the wrong purpose. Second, we provide a holistic framework with guidelines for when to use what approach to software development. 

sted, utgiver, år, opplag, sider
CEUR-WS.org , 2018. s. 177-192
Serie
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 2305
Emneord [en]
Requirement driven development, outcome/data driven development, AI driven development, holistic development framework
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-64660Scopus ID: 2-s2.0-85060642159OAI: oai:DiVA.org:mau-64660DiVA, id: diva2:1821659
Konferanse
SiBW 2018, Software-intensive Business: Start-ups, Ecosystems and Platforms, Espoo, Finland, December 3, 2018
Tilgjengelig fra: 2023-12-20 Laget: 2023-12-20 Sist oppdatert: 2023-12-28bibliografisk kontrollert

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