CCF ChinaSoft 2022 “软件缺陷的自动发现与修复”Track征稿通知

本专刊与2022年CCF中国软件大会(CCF Chinasoft 2022)合作。投稿本专刊并通过第一轮评审的国内论文作者需要注册参加本次大会并在“软件缺陷的自动发现与修复”论坛上进行论文报告交流。

Software defects are prevalent among programs and may cause significant threats to both the national economy and human lives. However, they are inevitable during software development, especially with the rapid increase of the complexity and scale of software systems. Besides, finding and debugging software defects will cause huge burden to developers. Therefore, studying and developing automatic techniques to assist developers in these procedures to ensure software quality is vitally important. Automatically discovering defects is a longstanding and challenging research topic over the last decades. How to improve its effectiveness and efficiency is the ground challenge to make it meet the requirement of practical usages. Recently, the research interests on automatic fault localization and program repair are also rapidly growing, which are promising to free developers from heavy debugging tasks. However, how to precisely locate the buggy code and produce meaningful patches is fundamentally challenging due to the complexity and heterogeneity nature of large-scale software systems.

The aim of this special issue on “Automatic Defect Discovering and Fixing” is to bring this emerging area and related topics to the attention of the communities of software and system engineering as well as to provide an opportunity for researchers to present their latest attempts and achievements on related topics. In this special issue, we both invite extended versions of selected papers from collaborating workshops, and solicit novel submissions related to defect discovering and fixing.

Topics

The list of topics includes but not limited to:

(1) Theories and technologies for automatically predicting defects.

(2) Theories and technologies for automatically detecting defects.

(3) Theories and technologies for fault localization.

(4) Theories and technologies for automatic program repair.

(5) Theories and technologies for building or analyzing defect related benchmarks.

Important Dates

Submission deadline: August 10th, 2022 (September 10th, 2022)

First notification: September 25th, 2022 (October 20th, 2022)

Revision submission: November 25th, 2022 (December 15th, 2022)

Notification of acceptance: December 25th, 2022 (January 5th, 2023)

Submission Guidelines

Authors should prepare their manuscript according to the Guide for Authors of the Software: Evolution and Process.

The submission site is http://mc.manuscriptcentral.com/jsme. Please select “Automatic Defects Discovering and Fixing” in the submission system. All the papers will be peer-reviewed following the Software: Evolution and Process reviewing procedures. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere.

If the submission is an extended work of a previously published conference/workshop paper, you must submit a cover letter/document detailing (1) the "Summary of Differences" between the conference/workshop paper and extended version paper, (2) a clear list of "new and original" ideas/contributions in the extended version paper (identifying sections where they are proposed/presented), (3) confirmation of the percentage of new material (at least 30%), and (4) the previously published conference/workshop paper.

Guest Editors

Jiajun Jiang, PhD

Corresponding Guest Editor

Associate Resesarch Professor

College of Intelligence and Computing

Tianjin University

Email: jiangjiajun@tju.edu.cn


Bo Wang, PhD

Lecturer

School of Computer and Information Technology

Beijing Jiaotong University

Email: wangbo_cs@bjtu.edu.cn


Ming Wen, PhD

Associate Professor

School of Cyber Science and Engineering

Huazhongn University of Science and Engineering

Email: mwenaa@hust.edu.cn


Kui Liu, PhD

Research Scientist

Software Engineering Application Technology Lab

Huawei

Email: liukui0811@163.com


Hui Liu, PhD

Professor

School of Computer Science and Technology

Beijing Institute of Technology

Email: liuhui08@bit.edu.cn