World's Best Scientists 2026 revealed!
IEEE

22nd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2022) (SCAM)

Location: Limassol , Cyprus

Submission deadline: 6/17/2022

Conference dates: 10/3/2022 - 10/4/2022

Research H-index
8

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 433 42 46 8

Call for Papers

Call for Research Track Papers
The 22nd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2022) aims to bring together researchers and practitioners working on theory, techniques, and applications that concern analysis and/or manipulation of the source code of software systems. The term "source code" refers to any fully executable description of a software system, such as machine code, (very) high-level languages, and executable graphical representations of systems. The term "analysis" refers to any (semi-)automated procedure that yields insight into source code, while "manipulation" refers to any automated or semi-automated procedure that takes and returns source code. While much attention in the wider software engineering community is directed towards other aspects of systems development and evolution, such as specification, design, and requirements engineering, it is the source code that contains the only precise description of the behavior of a system. Hence, the analysis and manipulation of source code remains a pressing concern for which SCAM 2022 solicits high quality paper submissions.

Covered Topics and Paper Formats
We welcome submission of papers that describe original and significant work in the field of source code analysis and manipulation. Topics of interest include, but are not limited to:

abstract interpretation
bad smell detection
bug location and prediction
clone detection
concern, concept, and feature localization and mining
decompilation
energy efficient source code
natural language analysis of source code artifacts
program comprehension
program slicing
program transformation and refactoring
repository, revision, and change analysis
security vulnerability analysis
source level metrics
source level optimization
source-level testing and verification
static and dynamic analysis
SCAM explicitly solicits results from any theoretical or technological domain that can be applied to these and similar topics. Submitted papers should describe original, unpublished, and significant work and must not have been previously accepted for publication nor be concurrently submitted for review in another journal, book, conference, or workshop.

Papers must not exceed 12 pages (the last 2 pages can be used for references only) and must conform to the IEEE proceedings paper format guidelines. Templates in Latex and Word are available on IEEE's website. All submissions must be in English and should be submitted electronically in PDF format. Submission will be reviewed by at least three members of the program committee, judging the paper on its novelty, quality, importance, evaluation, and scientific rigor. If the paper is accepted, at least one author must register for the conference and present the paper. All authors, reviewers, and organizers are expected to uphold the IEEE Code of Conduct. Failure to do so may lead to a (desk) rejection of the paper.

Double-blind Review
We follow a double-blind reviewing process. Submitted papers must adhere to the following rules:

Author names and affiliations must be omitted. (The track co-chairs will check compliance before reviewing begins.)
References to authors' own related work must be in the third person. (For example, not "We build on our previous work..." but rather "We build on the work of...")
If the program chairs find that authors did not respect the rules of double-blind review they can decide to (desk) reject the paper.

Artifact Evaluation
This year, likewise past year, ICSME, SCAM, and VISSOFT have joined forces and present a single Artifact Evaluation Track for all three venues. Authors of (short and long) papers accepted in the SCAM 2022 are invited to submit their artifacts for evaluation to the ICSME 2022 Joint Artifact Evaluation Track.

Proceedings
All accepted papers will appear in the proceedings which will be available through the IEEE Digital Library.

Special Issue
Extended versions of papers accepted at one of the SCAM 2022 tracks will be invited for submission in Journal of Software: Evolution and Process, Wiley.

Important Dates for Research Papers
All submission dates are at 23:59 AoE (Anywhere on Earth, UTC-12).

Abstract Submission: June 17th, 2022
Paper Submission: June 23th, 2022
Author Notification: July 25th, 2022
Camera Ready: August 1st, 2022

Overview

This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—one of the leading platforms for science research recognized for providing trusted and authoritative data on scientific contributions across all major academic disciplines since 2014. The ranking is determined through an innovative and robust bibliometric scoring system developed by Research.com, which integrates the estimated h-index and the number of prominent scientists who have participated in each conference over the preceding three years, offering a multifaceted assessment of conference impact and prestige.

Impact Score values included in this ranking were collected as of 2024-11-27, ensuring a current and relevant perspective on the most influential events in Computer Science. The extensive process of ranking the conferences relied upon a thorough examination of more than 2,742 conferences, each selected following a rigorous inspection and critical review of over 148,739 scientific documents published in the last three years. This analysis encompassed contributions from 13,184 leading and highly respected scholars in the field, reflecting the significant breadth and depth of research underpinning the ranking.

For those interested in understanding the detailed methodology employed in the computation of these ranking scores, a comprehensive description is available on our Methodology Page, which outlines the criteria, metrics, and data analysis strategies applied by our team of experts.

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 Source Code Analysis and Manipulation (based on the number of publications) are:

  • Chanchal K. Roy (12 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Tibor Gyimóthy (8 papers) published 1 paper at the last edition,
  • Bram Adams (8 papers) absent at the last edition,
  • Coen De Roover (7 papers) published 1 paper at the last edition,
  • Rudolf Ferenc (6 papers) published 1 paper 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 Source Code Analysis and Manipulation (based on the number of publications) are:

  • University of Szeged (12 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Saskatchewan (12 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • Queen's University (9 papers) absent at the last edition,
  • Loyola University Maryland (6 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University College London (5 papers) absent 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 2018 edition, 7.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.00% of all publications and 36.00% 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.

Related Online Degrees & Career Pathways

Pursuing a career in Computer Science offers diverse opportunities, from software development to cutting-edge fields like artificial intelligence and cybersecurity. Many students and professionals turn to affordable and flexible learning options. For those seeking budget-friendly options, exploring an affordable online computer science degree can provide quality education without the high costs typically associated with traditional programs.

Veterans looking to transition into tech roles have excellent resources available, such as online cybersecurity degrees for veterans. These programs are tailored to accommodate veterans’ unique needs, making the shift into cybersecurity smoother and more accessible.

For individuals interested in emerging roles in AI, there are clear pathways on how to become an AI trainer with no experience. This guides beginners through gaining relevant skills and breaking into the rapidly growing AI sector.

Additionally, continuous professional development is vital. Many choose to enhance their expertise through specialized cybersecurity courses online, which offer certificates that validate skills and improve job prospects in a competitive market.

Best Scientists who published in this Conference

Related Articles