QUALGEN: Modeling and Analysing the Quality of Evolving Software Systems
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The document discusses a research project called QUALGEN that aims to model and analyze the quality of evolving software systems. It develops a quality metamodel called MoCQA to generate customized quality models for software distributions like Ubuntu and Debian. The research methodology involves iteratively structuring a quality hypothesis hierarchy, defining metrics, and validating the candidate quality models. Future work includes validating the models on Debian/Ubuntu and generalizing to other software distributions, along with tool support for quality model generation and analysis.
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The document summarizes a survey on hybrid software development approaches. It finds that most combinations follow a pattern where a traditional process model serves as a framework and agile practices are plugged in. It also finds that hybrid approaches are independent of company size and external triggers. The survey received responses from 69 participants and identified five major combination patterns. It concludes that hybrid approaches have become mainstream and are the result of natural process evolution driven by experience, learning, and pragmatism.
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Systems variability modeling a textual model mixing class and feature concepts
System’s reusability and cost are very important in software product line design area. Developers’ goal is
to increase system reusability and decreasing cost and efforts for building components from scratch for
each software configuration. This can be reached by developing software product line (SPL). To handle
SPL engineering process, several approaches with several techniques were developed. One of these
approaches is called separated approach. It requires separating the commonalities and variability for
system’s components to allow configuration selection based on user defined features. Textual notationbased
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implementations. But these approaches are still weak in mixing features (conceptual level) and classes
(physical level) that guarantee smooth and automatic configuration generation for software releases. The
absence of methodology supporting the mixing process is a real weakness. In this paper, we enhanced
SPL’s reusability by introducing some meta-features, classified according to their functionalities. As a first
consequence, mixing class and feature concepts is supported in a simple way using class interfaces and
inherent features for smooth move from feature model to class model. And as a second consequence, the
mixing process is supported by a textual design and implementation methodology, mixing class and feature
models by combining their concepts in a single language. The supported configuration generation process
is simple, coherent, and complete.
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How to be(come) a successful PhD student
Keynote talk targeted to PhD students, during the BENEVOL 2023 research seminar (focused on software evolution) in Nijmegen, 27 November 2023, by Tom Mens (full professor in software engineering at University of Mons, Belgium). The keynote aims to provide tips, tricks and practical advice on how to become successful as a PhD student.
Recognising bot activity in collaborative software development
Presentation by Natarajan Chidambaram during the International ICSE Workshop on Bots in Software Engineering (BotSE 2023) in Australia. Joint work with Mehdi Golzadeh, Tom Mens, Alexandre Decan of the Software Engineering Lab of the University of Mons and with Eleni Constantinou.
A Dataset of Bot and Human Activities in GitHub
Presentation at the IEEE International Conference on Mining Software Repositories (MSR 2023) by Natarajan Chidambaram (Software Engineering Lab, University of Mons, Belgium) of a dataset of bot and human activities extracted from GitHub
The (r)evolution of CI/CD on GitHub
This document discusses the rise of GitHub Actions (GHA) as a dominant continuous integration (CI) service based on a longitudinal study of 91,810 GitHub repositories. The study analyzed the evolution and usage of seven popular CI services over nine years, focusing on their co-usage and migration patterns. The study provides statistical evidence that GHA became the most used CI service within 18 months of its introduction, coinciding with a decrease in Travis usage likely due to policy changes and migrations to GHA. Interviews with software practitioners revealed competition between services and reasons for co-using or migrating between alternatives.
Nurturing the Software Ecosystems of the Future
In January 2018, four Software Engineering research groups located in different Belgian Universities launched a five year research project to nurture the software ecosystems of the future. We assembled a diverse team of about a dozen researchers and embarked on an exciting journey leading to a rich and diverse suite of papers, tools and datasets. Halfway into the project the corona pandemic intervened, but despite several months of lockdown, we succeeded in increasing inter-university collaboration. In this paper we share our achievements so that the BENEVOL community may benefit from our experience.
Comment programmer un robot en 30 minutes?
Comment apprendre à programmer un robot en 30 minutes? Atelier organisé par Tom Mens (en collaboration avec Pierre Zielinski, Gauvain Devillez et Sebastien Bonte) lors des Journées Math-Sciences du Printemps des Sciences 2022 à l'Université de Mons
On the rise and fall of CI services in GitHub
Presentation of SANER 2022 conference article "On the rise and fall of CI services in GitHub" by Mehdi Golzadeh (co-authored with Alexandre Decan and Tom Mens).
On backporting practices in package dependency networks
Presentation at FOSDEM 2022 Composition and Dependency Management DevRoom of empirical research on backporting practices in package dependency networks, published in the IEEE Transactions in Software Engineering in 2021 (https://doi.org/10.1109/TSE.2021.3112204)
Joint work by Alexandre Decan, Tom Mens; Ahmed Zeourali, Coen De Roover as part of the Belgian Excellence of Science research project SECOASSIST (https://secoassist.github.io)
Comparing semantic versioning practices in Cargo, npm, Packagist and Rubygems
Presentation by Tom Mens at PackagingCon 2021 on Wednesday 10 November 2021.
Abstract: Semantic versioning (semver) is a commonly accepted open source practice, used by many package management systems to inform whether new package releases introduce possibly backward incompatible changes. Maintainers depending on such packages can use this practice to reduce the risk of breaking changes in their own packages by specifying version constraints on their dependencies. Depending on the amount of control a package maintainer desires to assert over her package dependencies, these constraints can range from very permissive to very restrictive. We empirically compared the evolution of semver compliance in four package management systems: Cargo, npm, Packagist and Rubygems. We discuss to what extent ecosystem-specific characteristics influence the degree of semver compliance, and we suggest to develop tools adopting the wisdom of the crowds to help package maintainers decide which type of version constraints they should impose on their dependencies.
We also studied to which extent the packages distributed by these package managers are still using a 0.y.z release, suggesting less stable and immature packages. We explore the effect of such "major zero" packages on semantic versioning adoption.
Our findings shed insight in some important differences between package managers with respect to package versioning policies.
Our empirical results have been published in two peer-reviewed academic journals: the IEEE Transactions in Software Engineering (https://doi.org/10.1109/TSE.2019.2918315) and Elsevier Science of Computer Programming (https://doi.org/10.1016/j.scico.2021.102656).
Achknowledgments: Research conducted in the context of the SECOASSIST "Excellence of Science" Research Project.
Lost in Zero Space
Presentation by Tom Mens at FOSDEM21 (Free Open Source Developers Meeting, February 2021). Published in Science of Computer Programming, August 2021.
https://doi.org/10.1016/j.scico.2021.102656
Abstract: When developing open source software end-user applications or reusable software packages, developers depend on software packages distributed through package managers such as npm, Packagist, Cargo, RubyGems. In addition to this, empirical evidence has shown that these package managers adhere to a large extent to semantic versioning principles. Packages that are still in major version zero are considered unstable according to semantic versioning, as some developers consider such packages as immature, still being under initial development.
This presentation reports on large-scale empirical evidence on the use of dependencies towards 0.y.z versions in four different software package distributions: Cargo, npm, Packagist and RubyGems. We study to which extent packages get stuck in the zero version space, never crossing the psychological barrier of major version zero. We compare the effect of the policies and practices of package managers on this phenomenon. We do not reveal the results of our findings in this abstract yet, as it would spoil the fun of the presentation.
Evaluating a bot detection model on git commit messages
Detecting the presence of bots in distributed software development activity is very important in order to prevent bias in socio-technical empirical studies. In previous work, we proposed a classification model to detect bots in GitHub repositories based on the pull request and issue comments of GitHub accounts. The current study generalises the approach to git contributors based on their commit messages. We train and evaluate the classification model on a large dataset of 6,922 git contributors. The original model based on pull request and issue comments obtained a precision of 0.77 on this dataset, whereas retraining the classification model on git commit messages increased the precision to 0.80. As a proof-of-concept, we implemented this model in BoDeGiC, an open source command-line tool to detect bots in git repositories.
Is my software ecosystem healthy? It depends!
QUATIC 2020 keynote presentation by Tom Mens (University of Mons) on dependency-related health issues in software ecosystems and research advances to address such health issues. Part of the presented research has been conducted as part of the Belgian SECO-ASSIST Excellence of Science Research Project.
Bot or not? Detecting bots in GitHub pull request activity based on comment s...
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Abstract: Many empirical studies focus on socio-technical activity in social coding platforms such as GitHub, for example to study the onboarding, abandonment, productivity and collaboration among team members. Such studies face the difficulty that GitHub activity can also be generated automatically by bots of a different nature. It therefore becomes imperative to distinguish such bots from human users. We propose an automated approach to detect bots in GitHub pull request activity. Relying on the assumption that bots contain repetitive message patterns in their pull request comments, we analyse the similarity between multiple messages from the same GitHub identity, using a clustering method that combines the Jaccard and Levenshtein distance. We empirically evaluate our approach by analysing 20,090 comments of 250 users and 42 bots in 1,262 GitHub repositories. Our results show that the method is able to clearly separate bots from human users.
On the fragility of open source software packaging ecosystems
Keynote at the Seminar on Advanced Techniques and Tools for Software Evolution (SATTOSE 2020) by Tom Mens, University of Mons (Belgium)
How magic is zero? An Empirical Analysis of Initial Development Releases in S...
1. 0.y.z packages are highly prevalent, contributing to 90% of packages in some distributions even though documentation states they are for initial development.
2. It generally takes a few months for packages to reach ≥1.0.0 but 20% take over a year, suggesting packages get stuck in 0.y.z.
3. 0.y.z packages are updated slightly more frequently but the difference is negligible, and there is little practical difference in how 0.y.z and ≥1.0.0 packages are used.
Comparing dependency issues across software package distributions (FOSDEM 2020)
This talk reports on our findings based on multiple empirical studies that we have conducted to understand different aspects of dependency management and their practical implications. This includes:
* the outdatedness of package dependencies, the transitive impact of such "technical lag", and its relation to the presence of bugs and security vulnerabilities.
* the impact of using either more permissive or more restrictive version contraints on dependencies.
* the virtues and limitations of being compliant to semantic versioning, a common policy to inform dependents whether new releases of software packages introduce possibly backward incompatible changes.
* the impact of specific characteristics, policies and tools used by the packaging ecosystem and its supporting community on all of the above.
The contents of the talk is primarily based on the following peer-reviewed scientific articles:
* What do package dependencies tell us about semantic versioning? Alexandre Decan, Tom Mens. IEEE Transactions on Software Engineering, 2019. https://doi.org/10.1109/TSE.2019.2918315
* An empirical comparison of dependency network evolution in seven software packaging ecosystems. Alexandre Decan, Tom Mens, Philippe Grosjean. Empirical Software Engineering 24(1):381-416, 2019. https://doi.org/10.1007/s10664-017-9589-y
* A formal framework for measuring technical lag in component repositories and its application to npm. Ahmed Zerouali, Tom Mens, Jesus Gonzalez‐Barahona, Alexandre Decan, Eleni Constantinou, Gregorio Robles. Journal of Software: Evolution and Process 31(8), 2019. https://doi.org/10.1002/smr.2157
* On the Impact of Security Vulnerabilities in the npm Package Dependency Network. Alexandre Decan, Tom Mens, Eleni Constantinou. International Conference on Mining Software Repositories, 2018. https://doi.org/10.1145/3196398.3196401
* On the Evolution of Technical Lag in the npm Package Dependency Network. Alexandre Decan, Tom Mens, Eleni Constantinou. International Conference on Software Maintenance and Evolution, 2018. https://doi.org/10.1109/ICSME.2018.00050
Measuring Technical Lag in Software Deployments (CHAOSScon 2020)
Presentation at CHAOSSCon Europe 2020 about the generic technical lag software measurement framework. Technical lag measures the increasing difference between deployed software components and the ideal upstream software components.
For more information, see https://doi.org/10.1002/smr.2157
SecoHealth 2019 Research Achievements
This presentation reports on the research results achieved in the context of the interuniversity interdisciplinary research project SECOHealth "Vers une méthodologie et analyse socio-technique interdisciplinaire de la santé des écosystèmes logiciels" co-financed by FRS-FNRS Belgium and FRQ (FRSC - FRNT, Québec) with principal investigators Tom Mens (UMONS), Bram Adams (Polytechnique Montréal) and Josianne Marsan (Université Laval).
SECO-Assist 2019 research seminar
Introduction to the research seminar on empirical analysis of open source software ecosystems, organised by the SECO-ASSIST "excellence of science" research project, on September 4th, 2019 at the University of Mons, Belgium. With invited presentations by Alexander Serebrenik, Jesus Gonzalez-Barahona, Dario Di Nucci and Henrique Nucci. The seminar concludes with the public PhD defense of Ahmed Zerouali (supervised by Tom Mens) on the topic of "A Measurement Framework for Analyzing Technical Lag in Open-Source Software Ecosystems"
Empirically Analysing the Socio-Technical Health of Software Package Managers
Invited presentation at Concordia University (Montreal, Canada) by Eleni Constantinou and Tom Mens on recent research about the socio-technical health issues in software package management ecosystems.
Abstract: The large majority of today’s software is relying on open software software components. Such components are typically distributed through package managers for a wide variety of programming languages, and developed and maintained through online distributed software development services like GitHub. Software component repositories are perceived as software ecosystems that constitute complex and evolving socio-technical software dependency networks. Because of their complexity and evolution, these ecosystems tend to suffer from a wide variety of software health issues that can be either technical or social in nature. Examples of such issues include the ecosystem fragility due to exponential growth and transitive dependencies; the abundance of outdated, unmaintained or obsolete software components; the prolonged presence of unfixed bugs and security vulnerabilities; the abandonment or high turnover of key contributors, suboptimal collaboration between contributors, and many more. This presentation will report on our past and ongoing empirical research that studies such health factors within and across different software packaging ecosystems (such as npm, RubyGems, Cargo, CRAN, CPAN). We provide empirical evidence of some of the health problems, compare their presence across different ecosystems, and suggest ways to reduce their potential impact by providing concrete guidelines and tools. The presented research Is being conducted by researchers of the Software Engineering Lab at the University of Mons in the context of two ongoing projects SECOHealth and SECO-ASSIST, aiming to analyse and improve the health of software ecosystems.
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Recognising bot activity in collaborative software development
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