Quality (philosophy)

Marketing

Quantum mechanics

Context (archaeology)

Business process

Process (computing)

Engineering

Philosophy

Biology

Event (particle physics)

Computer security

Software development process

Work in process

Operating system

Business process modeling

Computer science

Risk analysis (engineering)

Business

Business process management

Process mining

Paleontology

Software

Physics

Security bug

Software bug

Team software process

Information security

Epistemology

Operations management

Data science

Software engineering

Programming language

Security service

Goal-Driven Software Development Process

Software development

Software security assurance

Journal of Software Evolution and Process

In the era of information technology, businesses have changed the way they work. Operations, which have become digitalized and managed via software systems, have increased in competitiveness. Software developers have been forced to design and implement their quality standards products by focusing on process‐oriented management. Software quality aims to gain a high‐performance level in the both development and managerial processes to maintain continuous improvements. Continuous improvements require more efficient process monitoring methods. Process mining, which provides recent techniques related to process monitoring, can be utilized with event log files to track the process performance. This research will extract the process mapping and performance statistics of the bug‐fixing process from event logs to develop an efficient process monitoring system. This process will uncover bottlenecks causing inefficiencies and risks. The benefits of process mining techniques will also be discussed to highlight the implications. In this context, this article will present a case study on monitoring the bug‐fixing process of a software product via process mining. It will reveal significant knowledge about subsequent steps and roles.

Monitoring the software bug‐fixing process through the process mining approach