Software Process Evaluation from User Perceptions and Log Data

Vavpotič, Damjan; Bala, Saimir; Mendling, Jan; Hovelja, Tomaž

doi:10.1002/smr.2438

Cited by 7 publications

(6 citation statements)

References 76 publications

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“…On the other hand, having data in different formats, the next challenge during ETL activities was to prepare event log data [5] to provide a unique and standardized format. This is also due to the challenge of variability in records among tools or support systems for software development [18], such as Jira and Github, which are linked but stored differently.…”

Section: Discussionmentioning

confidence: 99%

“…In [18], an approach is presented to improve Software Development Methodologies (SDM) activities by combining two sources of data: stakeholders' perceptions of SDM and the application of Process Mining with PM2 methodology to records stored in software development tools. The approach was evaluated through a case study in an Austrian software development SME that uses Scrum as an agile methodology and Jira as a tasktracking system for its developers.…”

Section: Related Workmentioning

confidence: 99%

“…Wijnhoven et al [1] and Eggert et al [5] have highlighted the complexity of implementing this discipline in SMEs. On the other hand, the application of Process Mining in software development and management systems presents important opportunities, such as the improvement in the implementation of software development methodologies and the identification of specific challenges that SMEs with Process Mining, as evidenced in the studies of Vavpotič et al [18] and Vidoni [19].…”

Section: Related Workmentioning

confidence: 99%

“…Once the activities were identified, Preprocessing began, which corresponds to Phase 1 of the methodology. Preprocessing is necessary to transform the records from systems into a format that can be analyzed by Process Mining techniques [18]. In this way, Step 1 is to obtain an event log is presented through two sub-steps: the development of a script for ETL activities (Section 4.4.1) and obtaining an event log (Section 4.4.2).…”

Section: Preprocessingmentioning

confidence: 99%

See 3 more Smart Citations

Applying Process Mining: The Reality of a Software Development SME

Urrea-Contreras,

Astorga-Vargas,

Flores-Rios

et al. 2024

Applied Sciences

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One of the challenges the organizations confront is to extract data from the information systems to know the reality of their processes to improve their efficiency. In this study, the application of Process Mining is addressed as an opportunity in the specific context of an SME dedicated to software development, implementing the L* life cycle model methodology from a layered Software Engineering approach. This research is carried out based on process improvement in an initial SME project. Subsequently, it is compared with a second project, using different Process Mining perspectives such as control flow, case, organization, and time, with the aim of extending the process model. This holistic view allows not only to better understand the processes involved, but also to identify and analyze the similarities and differences between the two projects. As a result, the Process Mining analysis shows crucial aspects such as the representation of integrated models, traces on sequences of actions, and the interaction of activities with specific roles and deviations in the flow of activities that compromise the quality of the process and the product. At the same time, the challenges that emerged during the improvement cycle are highlighted. These challenges cover issues such as data extraction, fluid communication between those involved, and the documentation associated with the processes. This study contributes to the body of knowledge of Process Mining. Likewise, the case study results offer a vision for other SMEs seeking to incorporate Process Mining as part of their improvement strategies.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Preprocessingmentioning

confidence: 99%

See 2 more Smart Citations

Applying Process Mining: The Reality of a Software Development SME

Urrea-Contreras,

Astorga-Vargas,

Flores-Rios

et al. 2024

Applied Sciences

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show abstract

“…Software development processes can be evaluated more or less in the same way as other business processes. To achieve more detailed results, mining of event logs can be combined with more conventional approaches like surveys and expert evaluation [11]. Lightweight development approaches are a target for mining due to their agility and non-linear nature [12].…”

Section: Related Workmentioning

confidence: 99%

Using Process Mining to Leverage the Development of a Family of Mobile Applications

Rezunik,

Perevoznikova,

Eremina

et al. 2023

Proceedings of ISP RAS

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Enterprises often provide their services via a family of applications based on various platforms. Applications in such a family can behave differently. Their development processes can differ as well. Moreover, modern development processes are often complex and sometimes vague. This can lead to bugs, defects, and unwanted discrepancies in applications. In this paper, we show that process mining can be applied to leverage the development in such a case. Real-life models can be discovered and investigated by the developer teams in order to reveal differences in application behaviour, find bugs, and highlight inefficiencies. We consider datasets with event data of two types. Firstly, we analyse event logs of Android and iOS applications of the same product family. Secondly, we consider event data from working repositories of these applications. We show how by analysing such datasets, the real-life development process can be discovered. Besides, application event logs can help to find more and less severe bugs and unwanted behaviour.

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