38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023).

Top Research Topics at Automated Software Engineering?

• Software (30.03%)
• Software engineering (28.38%)
• Programming language (27.70%)

The topics of Software, Software engineering, Programming language, Software development and Software system are the focal point of discussions in the conference. Automated Software Engineering explores issues in Software which can be linked to other research areas like Data mining, Artificial intelligence and Source code. The studies on Source code discussed can also contribute to research in the domains of Static program analysis and Code (cryptography).

In addition to Software engineering research, it aims to explore topics under Software design, Resource-oriented architecture, Systems engineering, Software development process and Software architecture. The conference focuses on Programming language research which is adjacent to topics in Theoretical computer science. The Software development study featured in the conference draws connections with the study of Software deployment.

Software design description and Software metric are some of the facets of Software system tackled in the conference. The Formal specification works featured in the event incorporate elements from Formal methods and Formal verification. Issues in Social software engineering were discussed, taking into consideration concepts from other disciplines like Personal software process, Software analytics and Software Engineering Process Group.

What are the most cited papers published at the conference?

• Model checking programs (1326 citations)
• Empirical evaluation of the tarantula automatic fault-localization technique (937 citations)
• Fault localization with nearest neighbor queries (598 citations)

Research areas of the most cited articles at Automated Software Engineering:

The most cited papers are organized to address concerns in the fields of Programming language, Software, Software engineering, Data mining and Java. While Programming language is the focus of the conference papers, it also provides insights into the studies of Theoretical computer science and Code (cryptography). The works on Software tackled in the conference publications bring together disciplines like Artificial intelligence and Source code.

What topics the last edition of the conference is best known for?

• Programming language
• Software
• Software engineering

The previous edition focused in particular on these issues:

The main research concerns discussed in Automated Software Engineering are Software engineering, Programming language, Software, Software development and Formal specification. The conference addresses concerns in Software engineering which are intertwined with other disciplines, such as Software design, Software system, Systems engineering, Software development process and Computer-aided software engineering. The studies tackled, which mainly focus on Programming language, apply to Theoretical computer science as well.

The work on Software tackled in the conference brings together disciplines like Reuse, Artificial intelligence and Source code. The research on Software development discussed in the event draws on the closely related field of Software deployment. Formal specification research presented in the event encompasses a variety of subjects, including Formal methods, Software requirements specification, Specification language and Knowledge-based systems.

The most cited articles from the last conference are:

• Model checking programs (1326 citations)
• Empirical evaluation of the tarantula automatic fault-localization technique (937 citations)
• Fault localization with nearest neighbor queries (598 citations)

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.