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

Özdağoğlu, Güzin; Kavuncubaşı, Ece

doi:10.1002/smr.2162

Cited by 6 publications

(6 citation statements)

References 26 publications

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“…This technique has been used for some years in software engineering 33–35 . It is applied to various software reengineering topics such as bug fixing 36 . Process mining is mainly used to reverse engineering of a work process.…”

Section: Related Workmentioning

confidence: 99%

“…[33][34][35] It is applied to various software reengineering topics such as bug fixing. 36 Process mining is mainly used to reverse engineering of a work process. Given the dynamics and reliability analysis, this work is not suitable and needs to be coupled with a dynamic process analysis system and semantics to facilitate the analysis of interoperability problems.…”

Section: Related Workmentioning

confidence: 99%

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Data interoperability assessment, case of messaging‐based data exchanges

Laval

Niang

Derras³

et al. 2023

J Software Evolu Process

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Data interoperability implies data exchanges among intra and inter enterprises collaborating with information systems (IS). The multiplicity of these exchanges and the increasing number of data exchanged generates complexity and brings out the needs for control to avoid dysfunctions with a negative impact on the overall performance of the systems. Indeed, actually, interoperability has become a necessary performance lever that thus requires particular attention. Being at a low level in the enterprise interoperability concerns, data interoperability is mainly automated, which leads us to question: Is it possible to evaluate data interoperability performance and security based on inspection and analysis of ongoing data exchanges? We therefore endeavored to answer this question by establishing monitoring and analysis systems. In this paper, we present a research work which addresses services provided by a messaging‐based communication system. In order to collect information on Information System interactions allowing one to assess their level of data interoperability, we propose a messaging metamodel that aggregates the collected information. It provides a single point of control and enables one to determine indicators of potential interoperability problems. The approach is validated on two case studies. An industrial case study of interactions among existing systems is presented to showcase the feasibility and interest of the approach. It is proposed on top of RabbitMQ and allows our partner to identify some issues in the studied information system. The second case study shows that the approach can integrate other protocols, by reading MQTT messages. The approach is implemented using Moose, a software analysis platform.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Data interoperability assessment, case of messaging‐based data exchanges

Laval

Niang

Derras³

et al. 2023

J Software Evolu Process

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Section: Introductionmentioning

confidence: 99%

“…Data extraction can be applied after understanding the data structure and system design [13]. The activities Extraction, Transformation, and Load (ETL) of event logs are the first step to applying Process Mining [8,11,13]. The extracted data are transformed into a standard data format and loaded into a system or database [11] as event logs.…”

Section: Introductionmentioning

confidence: 99%

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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“…In software evolution, it is essential to work on sections of a source code to implement a particular change request [1], managing code clones [2], possibly refactoring code to enhance functionality [3], fix an implementation bug [4], fixing code smells [5], or adapting the system to changes in the framework, physical machine [6,7], or APIs [8,9]. Since evolution is an often process, developers need frequently to migrate to new releases of their employed API for improved services [10,11].…”

Section: Introductionmentioning

confidence: 99%

A study of code change patterns for adaptive maintenance with AST analysis

Meqdadi¹,

Aljawarneh²

2020

IJECE

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Example-based transformational approaches to automate adaptive maintenance changes plays an important role in software research. One primary concern of those approaches is that a set of good qualified real examples of adaptive changes previously made in the history must be identified, or otherwise the adoption of such approaches will be put in question. Unfortunately, there is rarely enough detail to clearly direct transformation rule developers to overcome the barrier of finding qualified examples for adaptive changes. This work explores the histories of several open source systems to study the repetitiveness of adaptive changes in software evolution, and hence recognizing the source code change patterns that are strongly related with the adaptive maintenance. We collected the adaptive commits from the history of numerous open source systems, then we obtained the repetitiveness frequencies of source code changes based on the analysis of Abstract Syntax Tree (AST) edit actions within an adaptive commit. Using the prevalence of the most common adaptive changes, we suggested a set of change patterns that seem correlated with adaptive maintenance. It is observed that 76.93% of the undertaken adaptive changes were represented by 12 AST code differences. Moreover, only 9 change patterns covered 64.69% to 76.58% of the total adaptive change hunks in the examined projects. The most common individual patterns are related to initializing objects and method calls changes. A correlation analysis on examined projects shows that they have very similar frequencies of the patterns correlated with adaptive changes. The observed repeated adaptive changes could be useful examples for the construction of transformation approaches

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

Cited by 6 publications

References 26 publications

Data interoperability assessment, case of messaging‐based data exchanges

Data interoperability assessment, case of messaging‐based data exchanges

Applying Process Mining: The Reality of a Software Development SME

A study of code change patterns for adaptive maintenance with AST analysis

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