Software Engineering With B
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Software Engineering 1
Author: Dines Bjørner
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-06-01
The art, craft, discipline, logic, practice, and science of developing large-scale software products needs a believable, professional base. The textbooks in this three-volume set combine informal, engineeringly sound practice with the rigour of formal, mathematics-based approaches. Volume 1 covers the basic principles and techniques of formal methods abstraction and modelling. First this book provides a sound, but simple basis of insight into discrete mathematics: numbers, sets, Cartesians, types, functions, the Lambda Calculus, algebras, and mathematical logic. Then it trains its readers in basic property- and model-oriented specification principles and techniques. The model-oriented concepts that are common to such specification languages as B, VDM-SL, and Z are explained here using the RAISE specification language (RSL). This book then covers the basic principles of applicative (functional), imperative, and concurrent (parallel) specification programming. Finally, the volume contains a comprehensive glossary of software engineering, and extensive indexes and references. These volumes are suitable for self-study by practicing software engineers and for use in university undergraduate and graduate courses on software engineering. Lecturers will be supported with a comprehensive guide to designing modules based on the textbooks, with solutions to many of the exercises presented, and with a complete set of lecture slides.
Software Engineering with B
This is the definitive guide to software engineering with B--the generic name for the software development method invented by Jean-Raymond Abrial, and for the language and CASE tool developed by B-Core (UK) Ltd. The B-method is almost unique among formal software development methods in that it uses a single notation for specification, design and programming. Using tutorial examples, this practical guide can be applied to the whole software engineering life cycle. An accompanying disk allows the reader to experiment with program examples. Key features include: Gives a balanced coverage of the B-Method, the abstract machine notation (AMN) and the B-Toolkit Covers the complete software development process from specification through to production of programs Shows how to write informal descriptions of software components as state machines and how to formalize simple state machines using the abstract machine notation Covers the use of the B-Toolkit for entering, committing, analyzing and animating machines and for generating machines from systems definitions Provides a diskette containing the source text of the examples in the book for use with the B-Toolkit Is supported by supplementary material on the World Wide Web 0201403560B04062001
Experimentation in Software Engineering
Author: Claes Wohlin
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-06-16
Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.