ASE 2026 — 41st IEEE/ACM International Conference on Automated Software Engineering (ASE)

This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, offering valuable insights for researchers, academics, and industry professionals. The ranking has been meticulously compiled by Research.com, a leading authority in science research across all major fields. Since 2014, Research.com has been recognized for providing reliable and trusted data on scientific contributions, with a particular commitment to accuracy and scholarly rigor in Computer Science.

Each conference's position in this ranking is determined based on a unique bibliometric score developed by Research.com. This score is calculated using an advanced methodology that combines the estimated h-index and the number of leading scientists who have contributed to each conference over the previous three years. The underlying data, including Impact Score values, reflects the most current information available, having been gathered on 2024-11-27.

The ranking process involved the thorough examination of over 2,742 conferences, selected following a detailed and rigorous analysis of 148,739 scientific documents published within the last three years by 13,184 prominent and well-respected Computer Science experts. This extensive vetting process ensures that only the most impactful and reputable conferences are included, thereby enhancing the credibility and reliability of the results.

To better understand the sophisticated approach behind the computation of these ranking scores, we invite you to explore further details on 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.

Top authors and change over time

The top authors publishing at Automated Software Engineering (based on the number of publications) are:

• Tao Xie (29 papers) published 1 paper at the last edition,
• David Lo (29 papers) published 3 papers at the last edition the same number as at the previous edition,
• Tim Menzies (23 papers) published 1 paper at the last edition the same number as at the previous edition,
• John Grundy (22 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Tung Thanh Nguyen (16 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Automated Software Engineering (based on the number of publications) are:

• University of Illinois at Urbana–Champaign (39 papers) published 4 papers at the last edition, 2 less than at the previous edition,
• North Carolina State University (38 papers) published 5 papers at the last edition, 4 more than at the previous edition,
• Microsoft (33 papers) published 4 papers at the last edition the same number as at the previous edition,
• Singapore Management University (30 papers) published 3 papers at the last edition, 4 less than at the previous edition,
• Johannes Kepler University of Linz (28 papers) published 2 papers at the last edition the same number as 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, 2.08% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.31% were posted by at least one author from the top 10 institutions publishing at the conference. Another 14.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.28% of all publications and 47.52% 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.