Artificial Intelligence Methods For Software Engineering
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| Author | : Meir Kalech |
| Publisher | : World Scientific |
| Total Pages | : 457 |
| Release | : 2021-06-15 |
| Genre | : Computers |
| ISBN | : 9811239932 |
Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s)
| Author | : Meir Kalech |
| Publisher | : |
| Total Pages | : 440 |
| Release | : 2021 |
| Genre | : Artificial intelligence |
| ISBN | : 9789811239922 |
| Author | : Derek Partridge |
| Publisher | : Routledge |
| Total Pages | : 287 |
| Release | : 2013-04-11 |
| Genre | : Business & Economics |
| ISBN | : 1136594469 |
Managers, business owners, computer literate individuals, software developers, students, and researchers--all are looking for an understanding of artificial intelligence (AI) and what might be in the future. In this literate yet easy-to-read discussion, Derek Partridge explains what artificial intelligence can and cannot do, and what it holds for applications such as banking, financial services, and expert systems of all kinds. Topics include: the strengths and weaknesses of software development and engineering; machine learning and its promises and problems; expert systems and success stories; and practical software through artificial intelligence.
| Author | : Mark Last |
| Publisher | : World Scientific |
| Total Pages | : 221 |
| Release | : 2004-06-03 |
| Genre | : Computers |
| ISBN | : 9814482609 |
An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applications of artificial intelligence and data mining methods to quality assurance of complex software systems, and to encourage further research in this important and challenging area.
| Author | : Zhang, Du |
| Publisher | : IGI Global |
| Total Pages | : 498 |
| Release | : 2006-10-31 |
| Genre | : Computers |
| ISBN | : 1591409438 |
"This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field"--Provided by publisher.
| Author | : Horst Bunke |
| Publisher | : World Scientific |
| Total Pages | : 221 |
| Release | : 2004 |
| Genre | : Computers |
| ISBN | : 9812794751 |
An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applications of artificial intelligence and data mining methods to quality assurance of complex software systems, and to encourage further research in this important and challenging area. Contents: Fuzzy CauseOCoEffect Models of Software Testing (W Pedrycz & G Vukovich); Black-Box Testing with Info-Fuzzy Networks (M Last & M Friedman); Automated GUI Regression Testing Using AI Planning (A M Memon); Test Set Generation and Reduction with Artificial Neural Networks (P Saraph et al.); Three-Group Software Quality Classification Modeling Using an Automated Reasoning Approach (T M Khoshgoftaar & N Seliya); Data Mining with Resampling in Software Metrics Databases (S Dick & A Kandel). Readership: Students, researchers and professionals in computer science, information systems, software testing and data mining."
| Author | : Du Zhang |
| Publisher | : World Scientific |
| Total Pages | : 367 |
| Release | : 2005-02-21 |
| Genre | : Computers |
| ISBN | : 9814481424 |
Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development and maintenance tasks could be formulated as learning problems and approached in terms of learning algorithms. This book deals with the subject of machine learning applications in software engineering. It provides an overview of machine learning, summarizes the state-of-the-practice in this niche area, gives a classification of the existing work, and offers some application guidelines. Also included in the book is a collection of previously published papers in this research area.
| Author | : IEEE Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2018-12-14 |
| Genre | : |
| ISBN | : 9781538669488 |
School of Computing Science & Engineering of Galgotias University Uttar Pradesh, invites you to associate with us for upcoming conference, ICCCA2018, a two day International Conference to be held on December 14 15, 2018 ICCCA2018 International Conference on Computing, Communication and Automation team with pleasure invites you to contribute with original research papers, to this blind and peer reviewed conference
| Author | : Ankita Bansal |
| Publisher | : CRC Press |
| Total Pages | : 267 |
| Release | : 2020-09-27 |
| Genre | : Computers |
| ISBN | : 1000191923 |
Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book: Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing and reliability problems
| Author | : Meziane, Farid |
| Publisher | : IGI Global |
| Total Pages | : 372 |
| Release | : 2009-07-31 |
| Genre | : Computers |
| ISBN | : 1605667595 |
"This book provides an overview of useful techniques in artificial intelligence for future software development along with critical assessment for further advancement"--Provided by publisher.
