Agile development with software process mining

Abstract

Modern companies continue investing more and more in the creation, maintenance and change of software systems, but the proper specification and design of such systems continues to be a challenge. The majority of current approaches either ignore real user and system runtime behavior or consider it only informally. This leads to a rather prescriptive top-down approach to software development.In this paper, we propose a bottom-up approach, which takes event logs (e.g., trace data) of a software system for the analysis of the user and system runtime behavior and for improving the software. We use well-established methods from the area of process mining for this analysis. Moreover, we suggest embedding process mining into the agile development lifecycle.The goal of this position paper is to motivate the need for foundational research in the area of software process mining (applying process mining to software analysis) by showing the relevance and listing open challenges. Our proposal is based on our experiences with analyzing a big productive touristic system. This system was developed using agile methods and process mining could be effectively integrated into the development lifecycle.

Process mining using BPMN: relating event logs and process models

“…This event data is perfectly suitable for applying process mining, since we identify the case by reservation id, events by a subset of business attributes and order of events by a timestamp. For more information about these event logs please refer to [32,33].…”

DPMine graphical language for automation of experiments in process mining

“…Несмотря на то, что извлечение процессов является относительно новым на-правлением, оно уже активно применяется при моделировании и анализе бизнес-процессов [5] в менеджменте, при разработке программного обеспечения [6,7], в управлении технологическими процессами, в медицине.…”

System Runs Analysis with Process Mining

“…The Process Mining Manifesto released by the IEEE Task Force on Process Mining [2] in 2011 is supported by more than 50 organizations, more than 70 experts contributed to it. One particularly interesting research area is Software Process Mining (SPM), that deals with extracting models of processes related to design, development, debugging and support of software from event logs containing data that software systems trace at runtime [3,4,5].…”