Ranking & Metrics
Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.
Research Impact Score:4.90
Contributing Best Scientists:52
H5-index:
Papers published by Best Scientists60
Research Ranking (Computer Science)93
Research Ranking (Computer Science)114
Conference Call for Papers
The Mining Software Repositories (MSR) conference is the premier conference for data science, machine learning, and artificial intelligence in software engineering. The goal of the conference is to improve software engineering practices by uncovering interesting and actionable information about software systems and projects using the vast amounts of software data such as source control systems, defect tracking systems, code review repositories, archived communications between project personnel, question-and-answer sites, CI build servers, and run-time telemetry. Mining this information can help to understand software development and evolution, software users, and runtime behavior; support the maintenance of software systems; improve software design/reuse; empirically validate novel ideas and techniques; support predictions about software development; and exploit this knowledge in planning future development. The goal of this two-day international conference is to advance the science and practice of software engineering with data-driven techniques. The 19th International Conference on Mining Software Repositories will be held on May 23-24, 2022.
Overview
Top Research Topics at Mining Software Repositories?
Software (30.98%)
Software engineering (19.23%)
World Wide Web (16.60%)
Mining Software Repositories mainly deals with areas of study such as Software, Software engineering, World Wide Web, Source code and Software development.
The studies in Software featured incorporate elements of Java, Data mining, Data science and Code (cryptography).
Topics in Software engineering were tackled in line with various other fields like Software system, Empirical research, Software quality and Process (engineering).
World Wide Web research featured in the event incorporates concerns from various other topics such as Android (operating system), Open source and Mining software repositories.
It explores topics in Source code which can be helpful for research in disciplines like KPI-driven code analysis, Information retrieval, Database and Artificial intelligence.
KPI-driven code analysis research discussed in it aim to provide more information in the subject of Static program analysis.
It focused on Artificial intelligence research but expanded to cover Natural language processing.
Mining Software Repositories aims to address concerns in Software development, specifically in the areas of Software construction and Social software engineering.
What are the most cited papers published at the conference?
When do changes induce fixes (627 citations)
Mining email social networks (490 citations)
The promises and perils of mining GitHub (488 citations)
Research areas of the most cited articles at Mining Software Repositories:
The most cited publications focus largely on the fields of Software, World Wide Web, Source code, Software engineering and Software development.
The research on Software featured in the most cited articles combines topics in other fields like Java, Empirical research, Data mining and Code (cryptography).
The studies on Source code discussed at the published papers can also contribute to research in the domains of KPI-driven code analysis, Software system, Artificial intelligence and Natural language processing.
Papers citation over time
A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
Research.com
Top authors and change over time
The top authors publishing at Mining Software Repositories (based on the number of publications) are:
Ahmed E. Hassan (22 papers) published 2 papers at the last edition, 3 less than at the previous edition,
Abram Hindle (20 papers) absent at the last edition,
Bram Adams (20 papers) published 2 papers at the last edition, 3 less than at the previous edition,
Georgios Gousios (14 papers) published 3 papers at the last edition,
Daniel M. German (13 papers) absent at the last edition.
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Research.com
Top affiliations and change over time
Only papers with recognized affiliations are considered
The top affiliations publishing at Mining Software Repositories (based on the number of publications) are:
Delft University of Technology (34 papers) published 6 papers at the last edition, 5 more than at the previous edition,
Queen's University (33 papers) published 2 papers at the last edition, 3 less than at the previous edition,
University of Waterloo (25 papers) published 2 papers at the last edition the same number as at the previous edition,
University of Victoria (23 papers) published 1 paper at the last edition, 1 less than at the previous edition,
École Polytechnique de Montréal (17 papers) published 3 papers at the last edition, 2 less than at the previous edition.
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
Research.com
Publication chance based on affiliation
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
Research.com
During the most recent 2017 edition, 42.28% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.94% were posted by at least one author from the top 10 institutions publishing at the conference. Another 14.08% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.31% of all publications and 43.66% were from other institutions.
Returning Authors Index
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.
Research.com
Returning Institution Index
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Research.com
The experience to innovation index
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).
Research.com
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
