Addresses various topics in the context of knowledge-based software engineering, including challenges that have arisen in this area of research. This book includes topics such as knowledge-based requirements engineering, domain analysis and modeling; development processes for knowledge-based applications; and, knowledge acquisition.

"This publication addresses the research in theoretical foundations, practical techniques, software tools, applications and / or practical experiences in knowledge-based software engineering. The book also includes a new field: research in web services and semantic web. This is a rapidly developing research area promising to give excellent practical outcome, and interesting for theoretically minded as well as for practically minded people. The largest part of the papers belongs to a traditional area of applications of artificial intelligence methods to various software engineering problems. Another traditional section is application of intelligent agents in software engineering. A separate section is devoted to interesting applications and special techniques related in one or another way to the topic of the conference."--Publisher's website.

This book constitutes the refereed proceedings of the 11th Joint Conference on Knowledge-Based Software-Engineering, JCKBSE 2014, held in Volgograd, Russia, in September 2014. The 59 full and 3 short papers presented were carefully reviewed and selected from 197 submissions. The papers are organized in topical sections on methodology and tools for knowledge discovery and data mining; methods and tools for software engineering education; knowledge technologies for semantic web and ontology engineering; knowledge-based methods and tools for testing, verification and validation, maintenance and evolution; natural language processing, image analysis and recognition; knowledge-based methods and applications in information security, robotics and navigation; decision support methods for software engineering; architecture of knowledge-based systems, including intelligent agents and softbots; automating software design and synthesis; knowledge management for business processes, workflows and enterprise modeling; knowledge-based methods and applications in bioscience, medicine and justice; knowledge-based requirements engineering, domain analysis and modeling; intelligent user interfaces and human-machine interaction; lean software engineering; program understanding, programming knowledge, modeling programs and programmers.

This text collects contributions from different countries to a wide range of topics in software engineering. Special emphasis is given to application of knowledge-base methods to software engineering problems. The papers tackle such areas as architecture of software and design patterns.

This book contains extended versions of the works and new research results presented at the 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022). JCKBSE2022 was originally planned to take place in Larnaca, Cyprus. Unfortunately, the COVID-19 pandemic forced it to be rescheduled as an online conference. JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelligence on Software Engineering. The 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022) was organized by the Department of Informatics of the University of Piraeus, Greece. This book is a valuable resource for experts and researchers in the field of (knowledge-based) software engineering. It is also valuable to general readers in the fields of artificial and computational intelligence and, more generally, computer science, wishing to learn more about the exciting field of (knowledge-based) software engineering and its applications. An extensive list of bibliographic references at the end of each chapter helps readers to probe deeper into the application areas of interest to them.

This book summarizes the new research results presented at the 12th Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2018), which took place on August 27–30, 2018 on the island of Corfu, Greece. The JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelligence in Software Engineering. The JCKBSE 2018 was organized by the Department of Informatics of the University of Piraeus, the Department of Computer and Information Engineering of Nippon Institute of Technology, and the Department of Informatics of Ionian University. The book will benefit not only experts and researchers in the field of (Knowledge-Based) Software Engineering, but also general readers in the fields of Artificial Intelligence, Computational Intelligence and Computer Science who wish to learn more about the field of (Knowledge-Based) Software Engineering and its applications. An extensive list of bibliographic references at the end of each paper encourages readers to probe further into the application areas that interest them most.

This is the first handbook to cover comprehensively both software engineering and knowledge engineering OCo two important fields that have become interwoven in recent years. Over 60 international experts have contributed to the book. Each chapter has been written in such a way that a practitioner of software engineering and knowledge engineering can easily understand and obtain useful information. Each chapter covers one topic and can be read independently of other chapters, providing both a general survey of the topic and an in-depth exposition of the state of the art. Practitioners will find this handbook useful when looking for solutions to practical problems. Researchers can use it for quick access to the background, current trends and most important references regarding a certain topic. The handbook consists of two volumes. Volume One covers the basic principles and applications of software engineering and knowledge engineering. Volume Two will cover the basic principles and applications of visual and multimedia software engineering, knowledge engineering, data mining for software knowledge, and emerging topics in software engineering and knowledge engineering. Sample Chapter(s). Chapter 1.1: Introduction (97k). Chapter 1.2: Theoretical Language Research (97k). Chapter 1.3: Experimental Science (96k). Chapter 1.4: Evolutionary Versus Revolutionary (108k). Chapter 1.5: Concurrency and Parallelisms (232k). Chapter 1.6: Summary (123k). Contents: Computer Language Advances (D E Cooke et al.); Software Maintenance (G Canfora & A Cimitile); Requirements Engineering (A T Berztiss); Software Engineering Standards: Review and Perspectives (Y-X Wang); A Large Scale Neural Network and Its Applications (D Graupe & H Kordylewski); Software Configuration Management in Software and Hypermedia Engineering: A Survey (L Bendix et al.); The Knowledge Modeling Paradigm in Knowledge Engineering (E Motta); Software Engineering and Knowledge Engineering Issues in Bioinformatics (J T L Wang et al.); Conceptual Modeling in Software Engineering and Knowledge Engineering: Concepts, Techniques and Trends (O Dieste et al.); Rationale Management in Software Engineering (A H Dutoit & B Paech); Exploring Ontologies (Y Kalfoglou), and other papers. Readership: Graduate students, researchers, programmers, managers and academics in software engineering and knowledge engineering."

This is the first handbook to cover comprehensively both software engineering and knowledge engineering - two important fields that have become interwoven in recent years. Over 60 international experts have contributed to the book. Each chapter has been written in such a way that a practitioner of software engineering and knowledge engineering can easily understand and obtain useful information. Each chapter covers one topic and can be read independently of other chapters, providing both a general survey of the topic and an in-depth exposition of the state of the art. Practitioners will find this handbook useful when looking for solutions to practical problems. Researchers can use it for quick access to the background, current trends and most important references regarding a certain topic.The handbook consists of two volumes. Volume One covers the basic principles and applications of software engineering and knowledge engineering.Volume Two will cover the basic principles and applications of visual and multimedia software engineering, knowledge engineering, data mining for software knowledge, and emerging topics in software engineering and knowledge engineering.

The integration of AI techniques with traditional information processing approaches to applications design is considered in this volume. More specifically, the feasibility of an AI work area integrating AI based tools with methodologies and with supporting theories, oriented towards general applications design using the knowledge based approach, is discussed.The book is divided into three areas. The first section, Modular Knowledge Architectures, deals with task structured organization of applications and with related knowledge acquisition techniques for application design. The proposals in this area show that the structured approach to knowledge identification and processing may be an alternative to the traditional application development methods which could be named Knowledge Oriented Software Design. The second section considers aspects of Design and Validation at two levels: a more practical approach to assess the life cycle of applications and validation techniques and a more theoretical approach oriented towards automatic programming based on problem solving and inductive logic programming. Basic Techniques to be used in AI applications design such as functional programming, object oriented programming, logic programming and logic based standards for basic knowledge modeling are discussed in the final section.

Doctoral Thesis / Dissertation from the year 2014 in the subject Computer Science - Software, grade: Pass, University of Technology, Malaysia (Faculty of Computing), course: Software Engineering Education, language: English, abstract: The success of software project depends on how well it fits the needs of its user and its environment. This research strongly believes that future Requirement Engineering (RE) engineers should have the necessary generic skills in order to improve the quality of producing Software Requirement Specification. The software industry claims that the software engineering graduates are not able to meet their requirements for employability. Thus, confronting the problems right from the Higher Learning Education level that lead to this disparity will save the software industry the cost of sending new employees for additional training. The objectives of this research are to develop new learning environment model that can be implemented in RE education; construct a prototype namely Electronic Learning Software Engineering System (ELINS) that allows the industry, educators and Software Engineering (SE) undergraduate students to actively communicate and collaborate; and measure the effectiveness of the proposed learning model in teaching RE and enhancing the generic skills of SE undergraduates. This research comprises of pilot and main study to gather the requirement from experience of software industry personnel before evaluating the students after they involve in experimental test. The interview findings from the pilot study provided inputs which guide this research to develop the actual questionnaire for the main study. The study discusses the factors, causes, expected attributes, and importance of allowing undergraduates to improve their generic skills through actual hands-on participation. Rasch Measurement Model’s software, WinStep, is used to analyze the raw data. In experimental test, students are provided with opportunities to practise how to deliver the SRS by doing several case studies from the software industry. The analysis and results have shown a positive improvement of the generic skills among the students who were involved in the Requirement Engineering Project Based-Learning (RE PjBL) model environment compared to those who were taught the course by traditional methods with minimal cost. The results conclude that the RE PjBL which are facilitated by ELINS can enhance student’s knowledge, skills and attitude effectively.