maintaineR: A web-based dashboard for maintainers of CRAN packages
•
0 likes•761 views
Tool demo presentation by Maelick Claes of UMONS (directed by T. Mens and Ph. Grosjean) during ICSME 2014 conference in Victoria, Canada (October 2014). Abstract: The R development community maintains thousands of packages through its Comprehensive R Archive Network CRAN. The growth and evolution of this archive makes it more and more difficult to maintain packages and their interdependencies, and the existing tools that aim to help developers in this process no longer suffice. We propose maintaineR, a web-based dashboard that allows CRAN package developers to understand and deal with the implications and problems raised by package updates. The dashboard complements existing analysis tools by providing additional support such as the visualisation of package dependencies and reverse dependencies, package conflicts, cross-package function clones, and so on.
Report
Share
Report
Share
Download to read offline
Recommended
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...GigaScience, BGI Hong Kong
Lisa Johnson's talk at the #ICG13 GigaScience Prize Track: Re-assembly, quality evaluation, and annotation of 678 microbial eukaryotic reference transcriptomes. Shenzhen, 26th October 2018Data Science as a Commodity: Use MADlib, R, & other OSS Tools for Data Scienc...
Slides from the Pivotal Open Source Hub Meetup
"Data Science as a Commodity: Use MADlib, R, & other OSS Tools for Data Science!"
As the need for data science as a key differentiator grows in all industries, from large corporations to startups, the need to get to results quickly is enabled by sharing ideas and methods in the community. The data science team at Pivotal leverages and contributes to this community of publicly available and open source technologies as part of their practice. We will share the resources we use by highlighting specific toolkits for building models (e.g. MADlib, R) and visualization (e.g. Gephi and Circos) along with their benefits and limitations by sharing examples from Pivotal's data science engagements. At the end of this session we hope to have answered the questions: Where can I get started with Data Science? Which toolkit is most appropriate for building a model with my dataset? How can I visualize my results to have the greatest impact?
Bio: Sarah Aerni is a member of the Pivotal Data Science team with a focus on healthcare and life science. She has a background in the field of Bioinformatics, developing tools to help biomedical researchers understand their data. She holds a B.S. In Biology with a specialization in Bioinformatics and minor in French Literature from UCSD, and an M.S. and Ph.D in Biomedical Informatics from Stanford University. During her time as a researcher she focused on the interface between machine learning and biology, building computational models enabling research for a broad range of fields in biomedicine. She also co-founded a start-up providing informatics services to researchers and small companies. At Pivotal she works with customers in life science and healthcare building models to derive insight and business value from their data.
An Empirical Study of Identical Function Clones in CRAN
Research presentation by Maelick Claes of joint research at the IWSC 2015 workshop of SANER 2015 (Montreal, Canada), reporting on an empirical analysis studying the presence of software code clones across R packages in CRAN, the reasons for these clones, and whether and how these clones could be removed.
Ekaw2014 - Inferring Semantic Relations by User Feedback
Inferring Semantic Relations by User Feedback
by F. Osborne, E. Motta
URL: http://oro.open.ac.uk/41162/
In the last ten years, ontology-based recommender systems have been shown to be effective tools for predicting user preferences and suggesting items. There are however some issues associated with the ontologies adopted by these approaches, such as: 1) their crafting is not a cheap process, being time consuming and calling for specialist expertise; 2) they may not represent accurately the viewpoint of the targeted user community; 3) they tend to provide rather static models, which fail to keep track of evolving user perspectives. To address these issues, we propose Klink UM, an approach for extracting emergent semantics from user feedbacks, with the aim of tailoring the ontology to the users and improving the recommendations accuracy. Klink UM uses statistical and machine learning techniques for finding hierarchical and similarity relationships between keywords associated with rated items and can be used for: 1) building a conceptual taxonomy from scratch, 2) enriching and correcting an existing ontology, 3) providing a numerical estimate of the intensity of semantic relationships according to the users. The evaluation shows that Klink UM performs well with respect to handcrafted ontologies and can significantly increase the accuracy of suggestions in content-based recommender systems.
Preparing and submitting a package to CRAN - June Sanderson, Sheffield R User...
Presentation by Jean Sanderson given at June R Users Group meeting, describing how to build an R package and submit to CRAN, based on her experiences with the "adwave" package.
Recommended
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...GigaScience, BGI Hong Kong
Lisa Johnson's talk at the #ICG13 GigaScience Prize Track: Re-assembly, quality evaluation, and annotation of 678 microbial eukaryotic reference transcriptomes. Shenzhen, 26th October 2018Data Science as a Commodity: Use MADlib, R, & other OSS Tools for Data Scienc...
Slides from the Pivotal Open Source Hub Meetup
"Data Science as a Commodity: Use MADlib, R, & other OSS Tools for Data Science!"
As the need for data science as a key differentiator grows in all industries, from large corporations to startups, the need to get to results quickly is enabled by sharing ideas and methods in the community. The data science team at Pivotal leverages and contributes to this community of publicly available and open source technologies as part of their practice. We will share the resources we use by highlighting specific toolkits for building models (e.g. MADlib, R) and visualization (e.g. Gephi and Circos) along with their benefits and limitations by sharing examples from Pivotal's data science engagements. At the end of this session we hope to have answered the questions: Where can I get started with Data Science? Which toolkit is most appropriate for building a model with my dataset? How can I visualize my results to have the greatest impact?
Bio: Sarah Aerni is a member of the Pivotal Data Science team with a focus on healthcare and life science. She has a background in the field of Bioinformatics, developing tools to help biomedical researchers understand their data. She holds a B.S. In Biology with a specialization in Bioinformatics and minor in French Literature from UCSD, and an M.S. and Ph.D in Biomedical Informatics from Stanford University. During her time as a researcher she focused on the interface between machine learning and biology, building computational models enabling research for a broad range of fields in biomedicine. She also co-founded a start-up providing informatics services to researchers and small companies. At Pivotal she works with customers in life science and healthcare building models to derive insight and business value from their data.
An Empirical Study of Identical Function Clones in CRAN
Research presentation by Maelick Claes of joint research at the IWSC 2015 workshop of SANER 2015 (Montreal, Canada), reporting on an empirical analysis studying the presence of software code clones across R packages in CRAN, the reasons for these clones, and whether and how these clones could be removed.
Ekaw2014 - Inferring Semantic Relations by User Feedback
Inferring Semantic Relations by User Feedback
by F. Osborne, E. Motta
URL: http://oro.open.ac.uk/41162/
In the last ten years, ontology-based recommender systems have been shown to be effective tools for predicting user preferences and suggesting items. There are however some issues associated with the ontologies adopted by these approaches, such as: 1) their crafting is not a cheap process, being time consuming and calling for specialist expertise; 2) they may not represent accurately the viewpoint of the targeted user community; 3) they tend to provide rather static models, which fail to keep track of evolving user perspectives. To address these issues, we propose Klink UM, an approach for extracting emergent semantics from user feedbacks, with the aim of tailoring the ontology to the users and improving the recommendations accuracy. Klink UM uses statistical and machine learning techniques for finding hierarchical and similarity relationships between keywords associated with rated items and can be used for: 1) building a conceptual taxonomy from scratch, 2) enriching and correcting an existing ontology, 3) providing a numerical estimate of the intensity of semantic relationships according to the users. The evaluation shows that Klink UM performs well with respect to handcrafted ontologies and can significantly increase the accuracy of suggestions in content-based recommender systems.
Preparing and submitting a package to CRAN - June Sanderson, Sheffield R User...
Presentation by Jean Sanderson given at June R Users Group meeting, describing how to build an R package and submit to CRAN, based on her experiences with the "adwave" package.
Objects, Testing, and Responsibility
Talk from Laracon EU on August 31, 2013. Style issues due to reveal.js output.
RR & Docker @ MuensteR Meetup (Sep 2017)
A short introduction to reproducible research, reproducibility with R, Docker, and all together for reproducible research using R and Docker containers. Includes demos of Rocker and containerit.
Anatomy of Open edX at DjangoCon 2018 (San Diego)
What does it take to build a web application that can serve millions of concurrent users? This talk will dissect Open edX, the open source online learning platform that powers edX.org and hundreds of other sites around the world.
Open edX is written in Django but relies on a slew of other software to work at scale. We’ll break down the components of the entire software architecture, and explain how each component is used. This will give attendees some insights into how they might architect their web application if they’re building software to serve a large audience.
We’ll discuss how Open edX utilizes both MySQL and MongoDB as data stores and why it uses MySQL for student data and MongoDB for course data. We’ll describe the queing architecture of Celery and RabbitMQ to process background jobs, and Hadoop for processing terabytes of learner analytics data.
DevOps enthusiasts will not be disappointed as we’ll go into the use of Ansible and Terraform for deploying the entire suite of software in a consistent and repeatable way up to popular cloud providers such as AWS, Google Cloud and Azure.
What will attendees learn? The attendees will get a close look at a modern Django-based web application to see how it’s architected, and come away with a better understanding of design decisions when building a web application that needs to serve 35M users from every country in the world. Attendees will also be equipped with the knowledge to run Open edX on their laptop or in the cloud, if they want to explore the software further.
Extending lifespan with Hadoop and R
Many experts believe that ageing can be delayed, this is one of the main goals of the the Institute of Healthy Ageing at University College London. I will present the results of my lifespan-extension research where we integrated publicly available genes databases in order to identify ageing related genes. I will show what challenges we met and what we have learned about the process of ageing.
Ageing is one of the fundamental mysteries in biology and many scientists are starting to study this fascinating process. I am part of the research group led by Dr Eugene Schuster at UCL Institute of Healthy Ageing. We experiment with Drosophila and Caenorhabditis elegans by modifying their genes in order to create long-lived mutants. The results of our experiments are quantified using high-throughput microarray analysis. Finally we apply information technology in order to understand how the ageing process works. I will show how we mine microarrays data in order to find the connections between thousands of genes and how we identify candidates for ageing genes.
We are interested in building a better understanding of genes functions by harnessing the large quantity of experimental microarray data in the public databases. Our hope is that after understanding the ageing process in simpler organisms we will be able to apply this knowledge in humans.
Cross-referencing expressions levels in thousands of genes and hundreds of experiments turned out to be a computationally challenging problem but Hadoop and Amazon cloud came to our rescue. In this talk I will present a case study based on our use of R with Amazon Elastic MapReduce and will give background on our bioinformatics challenges.
These slides were presented at ApacheCon Europe 2012:
http://www.apachecon.eu/schedule/presentation/3/
The Materials Project Ecosystem - A Complete Software and Data Platform for M...
The Materials Project Ecosystem - A Complete Software and Data Platform for M...University of California, San Diego
In this talk at the CECAM 2015 Workshop on Future Technologies in Automated Atomistic Simulations, I will discuss the Materials Project Ecosystem, an initiative to develop a comprehensive set of open-source software and data tools for materials informatics. The Materials Project is a US Department of Energy-funded initiative to make the computed properties of all known inorganic materials publicly available to all materials researchers to accelerate materials innovation. Today, the Materials Project database boasts more than 58,000 materials, covering a broad range of properties, including energetic properties (e.g., phase and aqueous stability, reaction energies), electronic structure (bandstructures, DOSs) and structural and mechanical properties (e.g., elastic constants).
A linchpin of the Materials Project is its robust data and software infrastructure, built on best open-source software development practices such as continuous testing and integration, and comprehensive documentation. I will provide an overview of the open-source software modules that have been developed for materials analysis (Python Materials Genomics), error handling (Custodian) and scientific workflow management (FireWorks), as well as the Materials API, a first-of-its-kind interface for accessing materials data based on REpresentational State Transfer (REST) principles. I will show a materials researcher may use and build on these software and data tools for materials informatics as well as to accelerate his own research.Sharing massive data analysis: from provenance to linked experiment reports
Scientific workflows, provenance and linked data to the rescue
Big Data Science with H2O in R
Slides for 8/20/2013 0xdata meetup on using H2O from within R: http://www.meetup.com/H2Omeetup/events/132640822/
4Developers 2015: Continuous Security in DevOps - Maciej Lasyk
Speaker: Maciej Lasyk
Language: Polish
Testowanie bezpieczeństwa aplikacji zazwyczaj kojarzy nam się z pentestami w wydaniu black/white box. Standardowe podejście do realizowania tematów bezpieczeństwa w firmach bez wdrożonego Continuous Delivery polega na szkoleniu kadr (programistów), uruchamiania (zamawiania) pentestów w fazach stabilizacji kodu (końcowe iteracje przed deploymentem) i naprawianiu znalezionych podatności. Sprawy mają się trochę inaczej w firmach, które wypuszczają wiele zmian każdego dnia (tu często znajdziemy więcej miejsca i zrozumienia dla zwinnych zespołów bezpieczeństwa).
Jednak w czasach, gdy programiści żyją blisko wraz z administratorami tworząc wspólny byt zwany DevOps podejście do kwestii bezpieczeńśtwa aplikacji można bardzo mocno zmienić. A co gdyby do procesu Continuous Integration, na który składa się wiele rodzajów testów (unit, smoke, performance) dodać jeszcze automatyczne testy bezpieczeństwa? A co gdyby ktoś Wam powiedział, że ""Automate all the things"" oznacza, iż można ""penetrować"" nie tylko z Backtracka / Kali'ego ale też z Ansible'a do pary z Jenkinsem, Owasp ZAPem, Metasploitem, JBehave, Selenium, Skipfishem i masą innych? A gdyby tak w skład Devopsów wchodziła część SecOps, której to zadaniem byłoby utrzymanie takiej gałęzi automatycznych testów bezpieczeństwa i analizy wyników? Z czego takie testy powinny się składać i jak je poukładać?
Jako lider zespołu Devopsów wiele razy spotkałem się z problemem sporej liczby podatności wykrytej poprzez pentesty, które potem trzeba w krótkim czasie załatać w tempie ""na zapalenie płuc"". Stąd też zrodził się jakiś czas temu pomysł, aby kompletnie zmienić podejście i odwrócić kota ogonem - zmieniamy podejście reaktywne (naprawiamy to co wykryły końcowe pentesty) na bardziej proaktywne (weryfikujemy bezpieczeństwo na bieżąco i poprawiamy w czasie rzeczywistym - w końcu część SecOps też może zmienić konfigurację serwerów w Ansiblowych YAMLach zamykając niestosowne porty na firewallu czy zmieniając delikatnie politykę SELinuksa).
4Developers: http://4developers.org.pl/pl/
Introduction to R
In this presentation, I tried to introduce R to beginners to encourage them to learn and employ this software.
Building Testable PHP Applications
Slides from my presentation "Building Testable PHP Applications" that I gave at CodeMash 2012
PyRate for fun and research
A brief introduction to the Bayesian analysis program PyRate for paleobiology colleagues. Given at a lab meeting, so the format is casual and a good chunk of prior knowledge is assumed.
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.
More Related Content
Similar to maintaineR: A web-based dashboard for maintainers of CRAN packages
Objects, Testing, and Responsibility
Talk from Laracon EU on August 31, 2013. Style issues due to reveal.js output.
RR & Docker @ MuensteR Meetup (Sep 2017)
A short introduction to reproducible research, reproducibility with R, Docker, and all together for reproducible research using R and Docker containers. Includes demos of Rocker and containerit.
Anatomy of Open edX at DjangoCon 2018 (San Diego)
What does it take to build a web application that can serve millions of concurrent users? This talk will dissect Open edX, the open source online learning platform that powers edX.org and hundreds of other sites around the world.
Open edX is written in Django but relies on a slew of other software to work at scale. We’ll break down the components of the entire software architecture, and explain how each component is used. This will give attendees some insights into how they might architect their web application if they’re building software to serve a large audience.
We’ll discuss how Open edX utilizes both MySQL and MongoDB as data stores and why it uses MySQL for student data and MongoDB for course data. We’ll describe the queing architecture of Celery and RabbitMQ to process background jobs, and Hadoop for processing terabytes of learner analytics data.
DevOps enthusiasts will not be disappointed as we’ll go into the use of Ansible and Terraform for deploying the entire suite of software in a consistent and repeatable way up to popular cloud providers such as AWS, Google Cloud and Azure.
What will attendees learn? The attendees will get a close look at a modern Django-based web application to see how it’s architected, and come away with a better understanding of design decisions when building a web application that needs to serve 35M users from every country in the world. Attendees will also be equipped with the knowledge to run Open edX on their laptop or in the cloud, if they want to explore the software further.
Extending lifespan with Hadoop and R
Many experts believe that ageing can be delayed, this is one of the main goals of the the Institute of Healthy Ageing at University College London. I will present the results of my lifespan-extension research where we integrated publicly available genes databases in order to identify ageing related genes. I will show what challenges we met and what we have learned about the process of ageing.
Ageing is one of the fundamental mysteries in biology and many scientists are starting to study this fascinating process. I am part of the research group led by Dr Eugene Schuster at UCL Institute of Healthy Ageing. We experiment with Drosophila and Caenorhabditis elegans by modifying their genes in order to create long-lived mutants. The results of our experiments are quantified using high-throughput microarray analysis. Finally we apply information technology in order to understand how the ageing process works. I will show how we mine microarrays data in order to find the connections between thousands of genes and how we identify candidates for ageing genes.
We are interested in building a better understanding of genes functions by harnessing the large quantity of experimental microarray data in the public databases. Our hope is that after understanding the ageing process in simpler organisms we will be able to apply this knowledge in humans.
Cross-referencing expressions levels in thousands of genes and hundreds of experiments turned out to be a computationally challenging problem but Hadoop and Amazon cloud came to our rescue. In this talk I will present a case study based on our use of R with Amazon Elastic MapReduce and will give background on our bioinformatics challenges.
These slides were presented at ApacheCon Europe 2012:
http://www.apachecon.eu/schedule/presentation/3/
The Materials Project Ecosystem - A Complete Software and Data Platform for M...
The Materials Project Ecosystem - A Complete Software and Data Platform for M...University of California, San Diego
In this talk at the CECAM 2015 Workshop on Future Technologies in Automated Atomistic Simulations, I will discuss the Materials Project Ecosystem, an initiative to develop a comprehensive set of open-source software and data tools for materials informatics. The Materials Project is a US Department of Energy-funded initiative to make the computed properties of all known inorganic materials publicly available to all materials researchers to accelerate materials innovation. Today, the Materials Project database boasts more than 58,000 materials, covering a broad range of properties, including energetic properties (e.g., phase and aqueous stability, reaction energies), electronic structure (bandstructures, DOSs) and structural and mechanical properties (e.g., elastic constants).
A linchpin of the Materials Project is its robust data and software infrastructure, built on best open-source software development practices such as continuous testing and integration, and comprehensive documentation. I will provide an overview of the open-source software modules that have been developed for materials analysis (Python Materials Genomics), error handling (Custodian) and scientific workflow management (FireWorks), as well as the Materials API, a first-of-its-kind interface for accessing materials data based on REpresentational State Transfer (REST) principles. I will show a materials researcher may use and build on these software and data tools for materials informatics as well as to accelerate his own research.Sharing massive data analysis: from provenance to linked experiment reports
Scientific workflows, provenance and linked data to the rescue
Big Data Science with H2O in R
Slides for 8/20/2013 0xdata meetup on using H2O from within R: http://www.meetup.com/H2Omeetup/events/132640822/
4Developers 2015: Continuous Security in DevOps - Maciej Lasyk
Speaker: Maciej Lasyk
Language: Polish
Testowanie bezpieczeństwa aplikacji zazwyczaj kojarzy nam się z pentestami w wydaniu black/white box. Standardowe podejście do realizowania tematów bezpieczeństwa w firmach bez wdrożonego Continuous Delivery polega na szkoleniu kadr (programistów), uruchamiania (zamawiania) pentestów w fazach stabilizacji kodu (końcowe iteracje przed deploymentem) i naprawianiu znalezionych podatności. Sprawy mają się trochę inaczej w firmach, które wypuszczają wiele zmian każdego dnia (tu często znajdziemy więcej miejsca i zrozumienia dla zwinnych zespołów bezpieczeństwa).
Jednak w czasach, gdy programiści żyją blisko wraz z administratorami tworząc wspólny byt zwany DevOps podejście do kwestii bezpieczeńśtwa aplikacji można bardzo mocno zmienić. A co gdyby do procesu Continuous Integration, na który składa się wiele rodzajów testów (unit, smoke, performance) dodać jeszcze automatyczne testy bezpieczeństwa? A co gdyby ktoś Wam powiedział, że ""Automate all the things"" oznacza, iż można ""penetrować"" nie tylko z Backtracka / Kali'ego ale też z Ansible'a do pary z Jenkinsem, Owasp ZAPem, Metasploitem, JBehave, Selenium, Skipfishem i masą innych? A gdyby tak w skład Devopsów wchodziła część SecOps, której to zadaniem byłoby utrzymanie takiej gałęzi automatycznych testów bezpieczeństwa i analizy wyników? Z czego takie testy powinny się składać i jak je poukładać?
Jako lider zespołu Devopsów wiele razy spotkałem się z problemem sporej liczby podatności wykrytej poprzez pentesty, które potem trzeba w krótkim czasie załatać w tempie ""na zapalenie płuc"". Stąd też zrodził się jakiś czas temu pomysł, aby kompletnie zmienić podejście i odwrócić kota ogonem - zmieniamy podejście reaktywne (naprawiamy to co wykryły końcowe pentesty) na bardziej proaktywne (weryfikujemy bezpieczeństwo na bieżąco i poprawiamy w czasie rzeczywistym - w końcu część SecOps też może zmienić konfigurację serwerów w Ansiblowych YAMLach zamykając niestosowne porty na firewallu czy zmieniając delikatnie politykę SELinuksa).
4Developers: http://4developers.org.pl/pl/
Introduction to R
In this presentation, I tried to introduce R to beginners to encourage them to learn and employ this software.
Building Testable PHP Applications
Slides from my presentation "Building Testable PHP Applications" that I gave at CodeMash 2012
PyRate for fun and research
A brief introduction to the Bayesian analysis program PyRate for paleobiology colleagues. Given at a lab meeting, so the format is casual and a good chunk of prior knowledge is assumed.
Similar to maintaineR: A web-based dashboard for maintainers of CRAN packages (20)
Machine Learning, Key to Your Classification Challenges
Machine Learning, Key to Your Classification Challenges
Generating Linked Data descriptions of Debian packages in the Debian PTS
Generating Linked Data descriptions of Debian packages in the Debian PTS
The Materials Project Ecosystem - A Complete Software and Data Platform for M...
The Materials Project Ecosystem - A Complete Software and Data Platform for M...
Sharing massive data analysis: from provenance to linked experiment reports
Sharing massive data analysis: from provenance to linked experiment reports
4Developers 2015: Continuous Security in DevOps - Maciej Lasyk
4Developers 2015: Continuous Security in DevOps - Maciej Lasyk
More from Tom Mens
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
In this presentation we explore how the CI/CD landscape on GitHub has evolved since the introduction of GitHub Actions. This presentation is based on several peer-reviewed articles published in 2022 and 2023.
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...
Presentation by Mehdi Golzadeh (Software Engineering Lab, University of Mons) of an article published at the 2nd International ICSE Workshop on Bots In Software Engineering (BotSE). See https://doi.org/10.1145/3387940.3391503
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...
Presentation at the 3rd International Workshop on Software Health (SoHeal), July 2020
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.
More from Tom Mens (20)
Recognising bot activity in collaborative software development
Recognising bot activity in collaborative software development
On backporting practices in package dependency networks
On backporting practices in package dependency networks
Comparing semantic versioning practices in Cargo, npm, Packagist and Rubygems
Comparing semantic versioning practices in Cargo, npm, Packagist and Rubygems
Evaluating a bot detection model on git commit messages
Evaluating a bot detection model on git commit messages
Bot or not? Detecting bots in GitHub pull request activity based on comment s...
Bot or not? Detecting bots in GitHub pull request activity based on comment s...
On the fragility of open source software packaging ecosystems
On the fragility of open source software packaging ecosystems
How magic is zero? An Empirical Analysis of Initial Development Releases in S...
How magic is zero? An Empirical Analysis of Initial Development Releases in S...
Comparing dependency issues across software package distributions (FOSDEM 2020)
Comparing dependency issues across software package distributions (FOSDEM 2020)
Measuring Technical Lag in Software Deployments (CHAOSScon 2020)
Measuring Technical Lag in Software Deployments (CHAOSScon 2020)
Empirically Analysing the Socio-Technical Health of Software Package Managers
Empirically Analysing the Socio-Technical Health of Software Package Managers
Recently uploaded
Understanding Globus Data Transfers with NetSage
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
OpenMetadata Community Meeting - 5th June 2024
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
#AIFusionBuddyComparison,
#AIFusionBuddyInstallation,
#AIFusionBuddyRefundPolicy,
#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
Graspan: A Big Data System for Big Code Analysis
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
First Steps with Globus Compute Multi-User Endpoints
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
This session covers GraalVM & Spring Boot, Spring AOT, performance optimizations and using libraries
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Lecture 1 Introduction to games development
Software engineering
Game Development
unity Game Development
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Navigating the Metaverse: A Journey into Virtual Evolution"
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
https://2024.springio.net/sessions/automated-software-refactoring-with-openrewrite-and-generative-ai/
GlobusWorld 2024 Opening Keynote session
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Globus Compute wth IRI Workflows - GlobusWorld 2024
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
2024 RoOUG Security model for the cloud.pptx
How we've evolved the MySQL server security model from a single DBA to the cloud.
Recently uploaded (20)
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
Webinar: Salesforce Document Management 2.0 - Smarter, Faster, Better
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
First Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User Endpoints
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
Navigating the Metaverse: A Journey into Virtual Evolution"
Navigating the Metaverse: A Journey into Virtual Evolution"
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024
maintaineR: A web-based dashboard for maintainers of CRAN packages
- 1. maintaineR A web-based dashboard for main-tainers of CRAN packages Maëlick(Claes Tom$Mens$&$Philippe$Grosjean &$ Software$Engineering$Lab$ Numerical$Ecology$of Aquatic$Systems$Lab 2nd$October$2014,$ICSME$2014 2
- 2. Introduction
- 3. hUp://www.rXproject.org Statistical$environment$based$on$the$S$language Packages$with Code$(R,$C,$Fortran,...) Documentation Examples Tests Datasets ... CRAN$(Comprehensive$R$Archive$Network) Official$R$package$repository Strict$policy$for$package$acceptance Package$quality$regularly$checked$&$archive$process Complaints$in$the$community$Hornik$2012,$Are$there$too$many$R packages?
- 4. Previous work Preliminary$empirical$study$using$CRAN$metaXdata On$the$maintainability$of$CRAN$packages$(CSMRXWCRE$2014) R$CMD$check$results$from$CRAN: hUp://cran.rXproject.org/web/checks/ Most$errors$resolved$quickly$without$developer$intervention Maintenance$effort$needs$to$focus$on$fixing$errors$caused$by$others Need$for$a$more$specific$tool$to$detect$problems$related$to dependency$changes
- 5. maintaineR
- 6. Architecture VirtualBox + Vagrant extractoR maintaineR cloneR igraph RCurl + XML hash Shiny DB WebApp timeline rCharts
- 7. Running maintaineR hUps://github.com/ecosXumons/maintaineR hUps://github.com/ecosXumons/CRANData Required:$igraph,$rCharts,$d3Network,$shiny,$timeline,$RCurl, shinyIncubator,$extractoR.utils install.packages(c("igraph", "d3Network", "shiny", "RCurl", "devtools")) devtools::install_github("rstudio/shiny-incubator") devtools::install_github("ramnathv/rCharts") devtools::install_github("ecos-umons/extractoR/extractoR.utils") devtools::install_github("ecos-umons/maintaineR") shiny::runApp(system.file("webapp", package="maintaineR"), port=3000)
- 9. Future work CLI$check$tool$on$a$new$package$version General$UI$improvement Performance$optimization Global$CRAN$view View$all$packages$of$a$maintainer Present$information$about$package$tests Function$call$graph
- 10. Thanks ffoorr yyoouurr aatttteennttiioonn Questions? SSlliiddeess:: hhttttpp::////mmaaeelliicckk..nneett//pprreesseennttaattiioonnss//iiccssmmee22001144//