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ACM

International Conference on Evaluation and Assessment in Software Engineering (EASE)

Location: Oulu , Finland

Conference dates: 6/14/2023 - 6/16/2023

Research H-index
14

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 254 55 84 13

Call for Papers

EASE welcomes papers addressing topics related to evaluating and assessing software products, processes, practices, tools & techniques including:

Defect and quality prediction
Estimation, decision-making, heuristics & biases in SE
Evaluation and comparison of software technologies (e.g. IoT, Context–Awareness, Cyber-physical)
Human factors and behavioral aspects of SE
Infrastructure and techniques for conducting empirical studies
Inter- or multi-disciplinary studies intersecting SE
Modeling, measuring, and assessing product/process quality, or SE success
Modeling, measuring, and assessing SE productivity and job performance
Software analysis, testing, verification, validation
SE analytics and metrics
Software project and knowledge management
Software technology transfer to the industry
Theory development and evaluation

Overview

This page presents a comprehensive ranking of scientific conferences in the field of Computer Science, meticulously compiled by Research.com, one of the leading platforms for science research across all major disciplines. Since 2014, Research.com has been recognized for providing authoritative data on scientific contributions, fostering trust within the global academic community.

The current ranking is founded on a proprietary bibliometric score uniquely developed by Research.com experts. This score is determined by evaluating both the estimated h-index and the number of leading scientists who have presented at each conference over the past three years. The Impact Score values represented here were most recently gathered on 2024-11-27, ensuring up-to-date and relevant conference analysis.

The ranking process entailed a rigorous and multi-layered review of more than 2,742 scientific conferences. These conferences were selected following an extensive examination of over 148,739 scholarly documents, all published within the last three years by a cohort of 13,184 prominent and highly respected scientists specializing in Computer Science. This thorough approach underscores the depth of research and the complex analysis undertaken by the Research.com team to ensure accuracy and credibility in the resulting rankings.

For further details on the methodology and criteria used for calculating the ranking scores, 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 Evaluation and Assessment in Software Engineering (based on the number of publications) are:

  • Barbara Kitchenham (22 papers) absent at the last edition,
  • Muhammad Ali Babar (18 papers) published 1 paper at the last edition the same number as at the previous edition,
  • He Zhang (17 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Emilia Mendes (15 papers) absent at the last edition,
  • Pearl Brereton (15 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 Evaluation and Assessment in Software Engineering (based on the number of publications) are:

  • Keele University (33 papers) absent at the last edition,
  • Blekinge Institute of Technology (24 papers) absent at the last edition,
  • Federal University of Pernambuco (21 papers) absent at the last edition,
  • Brunel University London (17 papers) absent at the last edition,
  • University of Otago (16 papers) published 2 papers at the last edition, 1 more 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 2021 edition, 1.92% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.84% were posted by at least one author from the top 10 institutions publishing at the conference. Another 19.61% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.84% of all publications and 64.71% 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.

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