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ACM

The 2022 Mining Software Repositories Conference (MSR)

Location: Pittsburgh , United States

Submission deadline: 1/20/2022

Conference dates: 5/18/2022 - 5/24/2022

Research H-index
29

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 69 114 200 29

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

This page presents a comprehensive ranking of scientific conferences in the field of Computer Science, meticulously compiled by Research.com, a trusted authority in science research data across all major disciplines since 2014. With an established reputation for reliability and depth, Research.com provides insightful and authoritative analysis of scientific contributions worldwide, ensuring that our users have access to the highest quality data in the domain.

The position of each conference in this ranking is determined by a unique bibliometric score developed by Research.com. This score integrates the estimated h-index of the conference with the number of leading scientists who have appeared at the event over the past three years, offering a nuanced and objective assessment of the conference’s scientific impact and prestige.

All Impact Score metrics have been collected as of 2024-11-27, providing the most current and relevant data for an accurate evaluation. The ranking process involved an exhaustive analysis of more than 2,742 Computer Science conferences, rigorously selected following a detailed assessment of over 148,739 scientific documents published in the last three years. These documents, authored by 13,184 leading and widely recognized scientists, reflect the forefront of research activity and innovation within the field.

This rigorous examination underscores our commitment to a transparent and scientifically robust methodology, ensuring that this ranking reflects both the depth and complexity of conferences’ contributions to Computer Science. For more detailed information regarding the computation of ranking scores and the methodologies employed, please refer to our Methodology Page.

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.

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.

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.

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.

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.

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.

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).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Related Online Degrees & Career Pathways

As the field of Computer Science continues to evolve, students have numerous specialized online degree options that cater to emerging industries. Pursuing a master of data science online is a popular path for those interested in big data and analytics. This degree equips students with skills in managing large datasets and applying statistical methods to solve complex problems.

Another growing area is user experience, with many enrolling in a ux degree online. This program focuses on designing intuitive interfaces and improving user interactions, which are essential in today’s technology-driven market.

Emerging financial technologies also present exciting opportunities. A masters in cryptocurrency provides comprehensive knowledge about blockchain technology, digital currencies, and fintech innovations, preparing graduates for roles in this dynamic sector.

For those fascinated by intelligent systems, an artificial intelligence major opens doors to careers in machine learning, robotics, and automation, allowing professionals to shape the future of AI-driven technologies.

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