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ACM

International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE)

Location: Singapore , Singapore

Submission deadline: 7/4/2022

Conference dates: 11/14/2022 - 11/18/2022

Research H-index
4

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 792 12 11 4

Call for Papers

PROMISE papers can explore any of the following topics (or more).

Application-oriented papers:

prediction of cost, effort, quality, defects, business value;
quantification and prediction of other intermediate or final properties of interest in software development regarding people, process or product aspects;
using predictive models and data analytics in different settings, e.g. lean/agile, waterfall, distributed, community-based software development;
dealing with changing environments in software engineering tasks;
dealing with multiple-objectives in software engineering tasks;
using predictive models and software data analytics in policy and decision-making.

Overview

This page presents the authoritative ranking of scientific conferences in the field of Computer Science, curated to provide valuable insights into the impact and scholarly reputation of leading academic events. The ranking was meticulously prepared by Research.com, a trusted leader in aggregating data and providing analysis on scientific research across all major disciplines, including Computer Science. Since 2014, Research.com has been recognized for delivering reliable and comprehensive information on scientific contributions worldwide.

The positions in this ranking are determined based on a unique bibliometric score developed by Research.com. This score is calculated using a combination of the estimated h-index and the number of leading scientists who have participated in each conference over the previous three years, ensuring that both the quality and the influence of the conferences are thoroughly considered.

The ranking incorporates Impact Score values that were collected as of 2024-11-27, providing readers with the most up-to-date assessment of conference significance. The selection process was rigorous and data-driven: over 2,742 conferences were evaluated following an exhaustive review of more than 148,739 scientific documents published in the last three years, authored by 13,184 leading and well-respected scientists in the Computer Science domain.

This ranking reflects the culmination of comprehensive research and expert analysis, designed to assist academics, students, and professionals in identifying the most influential scientific conferences in Computer Science. For a detailed explanation of the methodology used in computing 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 Predictive Models in Software Engineering (based on the number of publications) are:

  • Tim Menzies (7 papers) absent at the last edition,
  • Ayse Bener (4 papers) absent at the last edition,
  • Emilia Mendes (4 papers) published 1 paper at the last edition,
  • Burak Turhan (4 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Leandro L. Minku (3 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 Predictive Models in Software Engineering (based on the number of publications) are:

  • West Virginia University (6 papers) absent at the last edition,
  • University of Oulu (4 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Ryerson University (4 papers) absent at the last edition,
  • Brunel University London (4 papers) published 2 papers at the last edition,
  • University of Auckland (3 papers) published 1 paper at the last 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 2015 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 25.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 0.00% 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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