Название: A Journey Towards Bio-inspired Techniques in Software Engineering Автор: Jagannath Singh, Saurabh Bilgaiyan
Издательство: Springer
Год: 2020
Страниц: 214
Язык: английский
Формат: pdf (true), epub
Размер: 38.4 MB
This book covers a range of basic and advanced topics in software engineering. The field has undergone several phases of change and improvement since its invention, and there is significant ongoing research in software development, addressing aspects such as analysis, design, testing and maintenance. Rather than focusing on a single aspect of software engineering, this book provides a systematic overview of recent techniques, including requirement gathering in the form of story points in agile software, and bio-inspired techniques for estimating the effort, cost, and time required for software development. As such it is a valuable resource for new researchers interested in advances in software engineering — particularly in the area of bio-inspired techniques.
Since, from its invention, Software Engineering (SE) undergoes many phases of changes and improvement. Starting from procedural software to object-oriented software, the changes occurred make SE more strengthen. The journey of SE not stopped there. It is still continuing with new paradigms such as Aspect-Oriented software and Component-Oriented software development. It was observed that, as the software development technique is improving, the other related activities such as testing, debugging, estimation and maintenance become more complex and difficult. Hence, as the software development paradigm is evolving, there is a need of regular updates of research work to ease the transition process from one paradigm to another. With the huge traces of traditional software, most of the companies have developed a repository of previously developed software and their details. Now, the platform is set for new engineering techniques such as bio-inspired optimization and searching techniques, to be introduced into each field of software engineering. Starting from the analysis of gathered customer requirement to maintenance of the software, researchers have started applying the genetic algorithm, fuzzy graph theory, artificial neural networks technique, etc. In order to make the realization become true, this volume entitled a journey towards bio-inspired techniques in software engineering has been taken into shape with an inclusion of 10 chapters contributed by potential authors.
Contents:
1. SMDICFBA: Software Model for Distributed Incremental Closeness Factor Based Algorithms
2. A Novel Method for Fault Tolerance Intelligence Advisor System (FT-IAS) for Mission Critical Operations
3. Type-2 Fuzzy Controller (T2FC) Based Motion Planning of Differential-Drive Pioneer P3-DX Wheeled Robot in V-REP Software Platform
4. An Object-Oriented Software Complexity Metric for Cohesion
5. Engineering Full Stack IoT Systems with Distributed Processing Architecture—Software Engineering Challenges, Architectures and Tools
6. Chaos-Based Modified Morphological Genetic Algorithm for Effort Estimation in Agile Software Development
7. PerbDroid: Effective Malware Detection Model Developed Using Machine Learning Classification Techniques
8. A Study on Application of Soft Computing Techniques for Software Effort Estimation
9. White Box Testing Using Genetic Algorithm—An Extensive Study
10. Detection of Web Service Anti-patterns Using Machine Learning Framework
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