On Identifying Similarities in Git Commit Trends—A Comparison Between Clustering and SimSAX

Ochodek, MiroslawGothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU) (författare)

Software products evolve increasingly fast as markets continuously demand new features and agility to customer’s need. This evolution of products triggers an evolution of software development practices in a different way. Compared to classical methods, where products were developed in projects, contemporary methods for continuous integration, delivery, and deployment develop products as part of continuous programs. In this context, software architects, designers, and quality engineers need to understand how the processes evolve over time since there is no natural start and stop of projects. For example, they need to know how similar two iterations of the same program or how similar two development programs are. In this paper, we compare three methods for calculating the degree of similarity between projects by comparing their Git commit series. We test three approaches—the DNA-motifs-inspired …

Staron, Miroslaw,1977Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Software Center,Institutionen för data- och informationsteknik, Software Engineering (GU),Department of Computer Science and Engineering (GU),Institutionen för data- och informationsteknik, Software Engineering (GU)(Swepub:gu)xstmir (författare)
Meding, Wilhelm (författare)
Göteborgs universitetInstitutionen för data- och informationsteknik (GU) (creator_code:org_t)

Ingår i:SWQD 2020: Software Quality: Quality Intelligence in Software and Systems EngineeringCham : Springer1865-13481865-13569783030355104

Av författaren/redakt...: Ochodek, Mirosla ...; Staron, Miroslaw ...; Meding, Wilhelm

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NATURVETENSKAP: NATURVETENSKAP; och Data och informa ...; och Programvarutekni ...

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