Source Code Partitioning Using Process Mining

Kato, K.; Kanai, Tsuyoshi; Uehara, S.

doi:10.1007/978-3-642-23059-2_6

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…For this reason, in the proposed technique, we make use of the transaction data accumulated in the databases of the targeted business systems, rather than the logs, to visualize business process [13].…”

Section: Retrieving Processes From Databasesmentioning

confidence: 99%

A Practical Approach to Automated Business Process Discovery

Yano

Nomura

Kanai

2013

2013 17th IEEE International Enterprise Distributed Object Computing Conference Workshops

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Process mining has been studied for many years but has not been so widely adopted in real business practices. In this study, we propose a practical approach to process mining. This approach has three characteristics. Firstly, we make use of transaction databases of business systems that don't necessarily have an identifier throughout a process instance, rather than workflow logs. Secondly, we visualize and analyze what really happened without model inference. Thirdly, we also analyze exceptional processes as well as typical processes. This approach is implemented in a tool called BPM-E and was successfully adopted in real business systems in Japan, North America, and Europe. We show two case studies of BPM-E in this paper to explain how it works after the technical description.

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Section: Retrieving Processes From Databasesmentioning

confidence: 99%

A Practical Approach to Automated Business Process Discovery

Yano

Nomura

Kanai

2013

2013 17th IEEE International Enterprise Distributed Object Computing Conference Workshops

Self Cite

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“…Besides, we took another approach in this case. We collected update operations of the database tables, and estimated the execution frequencies of classes relevant to the updates as described in [24]. The merit of this approach is it has no side effect.…”

Section: E An Ems (Proprietary)mentioning

confidence: 99%

SArF map: Visualizing software architecture from feature and layer viewpoints

Kobayashi

Kamimura

Yano

et al. 2013

2013 21st International Conference on Program Comprehension (ICPC)

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To facilitate understanding the architecture of a software system, we developed SArF Map technique that visualizes software architecture from feature and layer viewpoints using a city metaphor. SArF Map visualizes implicit software features using our previous study, SArF dependencybased software clustering algorithm. Since features are high-level abstraction units of software, a generated map can be directly used for high-level decision making such as reuse and also for communications between developers and non-developer stakeholders. In SArF Map, each feature is visualized as a city block, and classes in the feature are laid out as buildings reflecting their software layer. Relevance between features is represented as streets. Dependency links are visualized lucidly. Through open source and industrial case studies, we show that the architecture of the target systems can be easily overviewed and that the quality of their packaging designs can be quickly assessed.

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Applying Process Mining in Small and Medium Sized IT Enterprises – Challenges and Guidelines

Eggert

Dyong

2022

Lecture Notes in Computer Science

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Source Code Partitioning Using Process Mining

Cited by 5 publications

References 4 publications

A Practical Approach to Automated Business Process Discovery

A Practical Approach to Automated Business Process Discovery

SArF map: Visualizing software architecture from feature and layer viewpoints

Applying Process Mining in Small and Medium Sized IT Enterprises – Challenges and Guidelines

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