World's Best Scientists 2026 revealed!
ACM

ASE 2021 : The 36th International Conference on Automated Software Engineering (ASE)

Location: Melbourne , Australia

Submission deadline: 4/16/2021

Conference dates: 11/15/2021 - 11/15/2021

Research H-index
37

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 46 216 440 37

Call for Papers

The IEEE/ACM Automated Software Engineering (ASE) Conference series is the premier research forum for automated software engineering. Each year, it brings together researchers and practitioners from academia and industry to discuss foundations, techniques, and tools for automating the analysis, design, implementation, testing, and maintenance of large software systems. ASE 2021 invites high quality contributions describing significant, original, and unpublished results.



Solicited topics include, but are not limited to:

Testing, verification, and validation

Software analysis

Empirical software engineering

Maintenance and evolution

Artificial intelligence for software engineering

Software engineering for artificial intelligence

Software security and trust; data privacy

Recommender systems for software engineering

Program synthesis & transformations, automated defect repair

Program comprehension

Mobile app development

Automated reasoning techniques

Software architecture and design

Reverse engineering and re-engineering

Model-driven development

Knowledge acquisition and management

Cloud computing

Human-computer interaction

Component-based service-oriented systems

Specification languages

Configuration management

Requirements engineering

Software product line engineering

Software visualization

Two categories of submissions are solicited:



Technical Research Papers should describe innovative research in automating software development activities or automated support to users engaged in such activities. They should describe a novel contribution to the field and should carefully support claims of novelty with citations to the relevant literature. Where a submission builds upon previous work of the author(s), the novelty of the new contribution must be clearly described with respect to the previous work, but the author identity should not be revealed, i.e., prior work should be referenced in the third person, to reflect the double-blind review policy. Papers should also clearly discuss how the results were validated



Experience Papers should describe a significant experience in applying automated software engineering technology and should carefully identify and discuss important lessons learned, so that other researchers and/or practitioners can benefit from the experience. Of special interest are experience papers that report on industrial applications of automated software engineering.



Like ASE 2020, New Ideas Papers will be managed and evaluated by a separate track (Short Paper track), with a separate PC, deadline, etc.



SUBMISSION

Abstracts and papers must be submitted electronically through the ASE 2021 HotCRP submission site.



Format. All submissions must be in English.



All submissions must be in PDF format and conform, at time of submission, to the ACM Proceedings Template (LaTEX users must use \documentclass[sigconf,review,anonymous]{acmart}).



Papers submitted to this track (Technical Research and Experience Papers) must not exceed 10 pages (including figures) plus up to 2 pages that contain ONLY references. Exceeding this limit will be grounds for rejection without review.



Experience papers should contain the phrase “experience paper” prominently in the abstract, to ensure that they are evaluated appropriately.



The authors are strongly encouraged to use the HotCRP format checker on their submissions. Note that the format checker is not perfect. In particular, it can complain about small fonts in figures, footnotes, or references. As long as the main text follows the requested format, and the figures are readable, the paper will not be rejected for format violations. If you have any concerns, please contact the program chairs at [email protected].



Originality. Papers submitted to ASE 2021 must not have been published elsewhere and must not be under review or submitted for review elsewhere when being considered for ASE 2021. Authors should be aware of the ACM Policy and Procedures on Plagiarism and the IEEE Plagiarism FAQ.



To check for double submission and plagiarism issues, the chairs reserve the right to (1) share the list of submissions with the PC Chairs of other conferences, affiliated with ACM or IEEE, with overlapping review periods and (2) use external plagiarism detection software, under contract to the ACM or IEEE, to detect violations of these policies.



ASE 2021 will pursue a double-blind review process. If you have any questions, please see FAQs and/or contact the PC chairs at [email protected]. Authors are encouraged to double check conflicts of interest on their papers in HotCRP shortly after the submission deadline.



Submissions that do not adhere to these limits or that violate the formatting guidelines will be desk-rejected without review.



Supplementary material. Supplementary material can be uploaded via the HotCRP site or anonymously linked from the paper submission. Although PC members are not obligated to look at this material, we strongly encourage submitters to use supplementary material to provide access to anonymized code or data, whenever possible. Please carefully review any supplementary material to ensure it conforms to the double-blind policy (described next). For example, code and data repositories may be exported to remove version control history, scrubbed of names in comments and metadata, and anonymously uploaded to a sharing site to support review. One resource that may be helpful in accomplishing this task is this blog post:



https://ineed.coffee/5205/how-to-disclose-data-for-double-blind-review-and-make-it-archived-open-data-upon-acceptance/



ACCEPTED PAPERS

Accepted papers will be permitted an additional page of content to allow authors to incorporate review feedback. The page limit for published papers will therefore be 11 pages (including figures), plus 2 pages which may only contain references. Note that all submitted papers must conform to the 10+2 requirement, described above.



We strongly encourage authors of accepted papers to archive the research artifacts, including code and data, associated with their ASE papers. Software Heritage (presented in a keynote at ASE 2018) requires only providing a URL to an existing archive:



https://www.softwareheritage.org/2019/08/05/saving-and-referencing-research-software-in-software-heritage/



Other often used solutions, focusing on data, include Figshare and Zenodo.

Overview

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.

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.

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.

Related Online Degrees & Career Pathways

Exploring a degree in Computer Science opens many doors, especially when combined with complementary fields. For those interested in advanced data interpretation and visualization, pursuing a masters in data analytics can provide essential skills for careers in business intelligence, market analysis, and artificial intelligence.

For a more research-focused career, earning a phd data science online offers an opportunity to contribute to cutting-edge advancements in machine learning, big data infrastructure, and algorithm development, all from flexible online platforms.

Graduates with a Computer Science background may also find exciting roles in the intersection of biology and technology. Learning what to do with a bioinformatics degree can lead to opportunities in genomics, drug development, and personalized medicine, leveraging computational methods to solve biological challenges.

Additionally, those interested in the healthcare industry can expand their technical expertise by exploring online healthcare programs. These programs enable students to blend computer science skills with medical knowledge, preparing for roles in health informatics, telemedicine, and medical software development.

Best Scientists who published in this Conference

Related Articles

Recently Published Articles