Automatic Real-Time Mining Software Process Activities From SVN Logs Using a Naive Bayes Classifier

Abstract

The abundance of event data in current software configuration management systems makes it possible to discover software process models automatically by using actual observed behavior. However, traditional process mining algorithms cannot be applied to event logs recorded in software configuration management (SCM) systems, such as SVN, because of missing activity attributes. To address this problem, a software process activity classifier is proposed to build event-activity mapping relationships from software development event streams, revealing activity attributes and associating the activity to the original SVN log. The proposed approach extracts activity from the SVN log based on semantic features and introduces a novel technique based on a naive Bayes approach to associate event activities dynamically. The approach has been applied to two real-world software development process logs, ArgoUML and jEdit, consisting of more than 80,000 events, covering development information from 1998 to 2015. With the application of our approach to such data, activities can be extracted from event logs and a classifier can be constructed for adding activity attributes to new events. The results of the classification are evaluated in terms of precision rate, recall rate, and the F-measure. Overall, two real-world software development process logs are used to validate the method, and the experimental results show that the approach can mine software process activities from SVN log events automatically and in real-time.INDEX TERMS Activity classifier, machine learning, software process activity, SVN log.

Process Mining Discovery Techniques for Software Architecture Lightweight Evaluation Framework

“…The aim is to retrieve control-flow and structural aspects of software development cycles from existing data sources and software repositories. As a result, Bug trackers, version control systems, and mail archives are related to tracking software development events [6][7][8][9][10][11][12][13].…”

Applying Process Mining: The Reality of a Software Development SME

“…The extracted data are transformed into a standard data format and loaded into a system or database [11] as event logs. A software process event log is used in Process Mining to describe the information of events and attributes [14], which can vary depending on the type of process management system. Some attributes of software processes may include the identifier and name of the activity (requirements, architecture, design, implementation, testing, operation, etc.…”