Scientific Programming

Soft Computing Approaches to Continuous Software Engineering


Publishing date
01 Oct 2021
Status
Closed
Submission deadline
04 Jun 2021

Lead Editor

1China University of Petroleum, Beijing, China

2North China University of Technology, Beijing, China

3Namal Institute, Mianwali, Pakistan

This issue is now closed for submissions.

Soft Computing Approaches to Continuous Software Engineering

This issue is now closed for submissions.

Description

Software processes are progressively distributed and are becoming dynamic component-based, and complex. Numerous current challenges in the field are mainly based on continuous delivery, continuous integration, automation, infrastructure-as-code, etc. Different intelligent approaches and techniques are needed to cope with these challenges. Soft computing is an approach to computing that parallels the remarkable ability of the human mind to learn and reason in imprecision and in uncertain environments. Soft computing approaches acknowledge the existence of uncertainty and imprecision present in the software process. Soft computing approaches have emerged as a contributing means to address various applied modern software process management and improvement challenges including effort estimation, defect prediction, defect classification, and software reengineering. In intelligent continuous software process management and improvement, artificial intelligence techniques have been frequently applied to build intelligent tools from software artifacts.

Unfortunately, the applications of soft computing approaches in modern continuous software development are far away from being advanced. Major soft computing approaches applied to continuous software process management and improvement are currently fuzzy sets, fuzzy logic, neural networks, genetic algorithms, case-based reasoning, simulated annealing, evolutionary computation, swarm, and ant colony optimization. These techniques could provide a new avenue to manage and improve software processes.

The aim of this Special Issue is to attract original research articles and review articles presenting strategies and evidence of software engineering using soft computing approaches. Submissions can suggest new tools, methods, approaches, and frameworks. We hope both researchers and practitioners can discuss the suitability of soft computing approaches to continuous software processes.

Potential topics include but are not limited to the following:

  • Application of multi-criteria decision making to continuous software engineering
  • Profiling pre-release software products and organizational performance using soft computing
  • Application of soft computing to modern continuous process improvement
  • Industry best practices and case studies of continuous software engineering
  • Application of fuzzy set optimization in continuous software development
  • Artificial intelligence for industrial self-healing measurement systems
  • Process management in global and outsourced software development
  • Continuous integration and data-driven software development
  • Scaling agile mechatronics using soft computing techniques
  • Application of soft computing techniques to enterprise agile
  • Managing agile processes using soft computing techniques
  • Information processing in continuous software processes
  • Kaizen continuous improvement
  • Lean start-ups and lean thinking
  • DevOps pipeline automation

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 2259594
  • - Research Article

Utilizing Virtual Crowd for Global Software Development

Ying Zhang | Farhad Ali | ... | Zeqi Leng
  • Special Issue
  • - Volume 2021
  • - Article ID 9988987
  • - Research Article

Multiobjective Test Case Prioritization Using Test Case Effectiveness: Multicriteria Scoring Method

Ali Samad | Hairulnizam Bin Mahdin | ... | Zirawani Baharum
  • Special Issue
  • - Volume 2021
  • - Article ID 7295627
  • - Review Article

Soft Computing and Decision Support System for Software Process Improvement: A Systematic Literature Review

He Xiaolong | Zhao Huiqi | ... | Adnan Shahid Khan
  • Special Issue
  • - Volume 2021
  • - Article ID 9935849
  • - Research Article

Performance Evaluation of a B2C Model Based on Trust Requirements and Factors

Ahmad Yahya Asiri | Sultan S. Alshamrani
  • Special Issue
  • - Volume 2021
  • - Article ID 5532197
  • - Research Article

Development of Rule-Based Software Risk Assessment and Management Method with Fuzzy Inference System

Mustafa Batar | Kökten Ulaş Birant | Ali Hakan Işık
  • Special Issue
  • - Volume 2021
  • - Article ID 9988318
  • - Research Article

Analysis of Simple K-Mean and Parallel K-Mean Clustering for Software Products and Organizational Performance Using Education Sector Dataset

Rui Shang | Balqees Ara | ... | Shafi Ullah Khan
  • Special Issue
  • - Volume 2021
  • - Article ID 5519900
  • - Review Article

Library-Based Overview of Multicriteria Decision Making for Continuous Software Improvement for Internet of Software Industry

He Xiaolong | Shah Nazir | ... | Deng Jun
  • Special Issue
  • - Volume 2021
  • - Article ID 9953618
  • - Research Article

Multicriteria Decision Making to Continuous Software Improvement Based on Quality Management, Assurance, and Metrics

Lei Sun | Shah Nazir | Anwar Hussain
Scientific Programming
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Acceptance rate7%
Submission to final decision126 days
Acceptance to publication29 days
CiteScore1.700
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