Computer Engineering / Bilgisayar Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/10

Browse

Filters

2017 - 20182

Settings

Publisher: search.filters.publisher.Springer VerlagSubject: search.filters.subject.Agile software development

Search Results

Now showing 1 - 2 of 2
  • Conference Object
    Citation - Scopus: 14
    Systematic Mapping Study on Process Mining in Agile Software Development
    (Springer Verlag, 2018) Erdem, Sezen; Demirörs, Onur; Rabhi, Fethi
    Process mining is a process management technique that allows for the analysis of business processes based on the event logs and its aim is to discover, monitor and improve executed processes by extracting knowledge from event logs readily available in information systems. The popularity of agile software development methods has been increasing in the software development field over the last two decades and many software organizations develop software using agile methods. Process mining can provide complementary tools to Agile organizations for process management. Process mining can be used to discover agile processes followed by agile teams to establish the baselines and to determine the fidelity or they can be used to obtain feedback to improve agility. Despite the potential benefit of using process mining for agile software development, there is a lack of research that systematically analyzes the usage of process mining in agile software development. This paper presents a systematic mapping study on usage of process mining in agile software development approaches. The aim is to find out the usage areas of process mining in agile software development, explore commonly used algorithms, data sources, data collection mechanisms, analysis techniques and tools. The study has shown us that process mining is used in Agile software development especially for the purpose of process discovery from task tracking applications. We also observed that source code repositories are main data sources for process mining, a diversity of algorithms are used for analysis of collected data and ProM is the most widely used analysis tool for process mining.
  • Conference Object
    Citation - WoS: 5
    Citation - Scopus: 10
    An Exploratory Study on Usage of Process Mining in Agile Software Development
    (Springer Verlag, 2017) Erdem, Sezen; Demirörs, Onur
    Agile software development methods have become popular in the software development field during the last decade. Majority of software organizations develop or claim to develop software based on agile methods. Process mining is a process management technique that allows for the analysis of business processes based on the event logs. The aim of process mining is to discover, monitor and improve real processes, but not assumed processes, by extracting knowledge from event logs readily available in information systems. Process mining can be used to discover agile processes followed in organizations/projects to determine the actual processes followed. Process mining can also establish the necessary evidences for assessing or measuring the agility of organizations. This study explores the usability of process mining methods in agile software development context. The results of an exploratory case study on using process mining techniques in a software project managed by Scrum are depicted. We also discuss the benefits of the process mining techniques used and compare different tools utilized.