Anu G. Aggarwal - Optimization Models in Software Reliability

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In this age of Internet technology, software has become an indispensable part of our everyday life. With the paradigm shift of businesses, education, defence, healthcare, etc. from physical to digital platforms, our reliance on software has grown in leaps and bounds. Development of highly reliable software at reasonable prices with quick deliveries has emerged as the prime objective of IT firms. Optimization techniques/tools have gained popularity among IT managers and software developers for decision-making while meeting multiple needs of the users. Optimization is a set of mathematical techniques where the constraints affecting the decisions are identified and included in the model while maximizing gains or minimizing costs and risks. The use of optimization techniques for the judicious allocation of resources and strategic decisions pertaining to software release schedules, software versions management, and warranty/maintenance policies is a relatively new field of study. The main focus of this book is the evaluation and optimization of key decisions related to the software development process. This book consists of 16 chapters featuring a broad range of topics including Software Reliability Modeling, Estimation and Prediction, Optimal Allocation and Selection Decisions, and up-gradations problems. Each chapter is written by well-known researchers and IT practitioners to present the recent trends and research opportunities in the area of software reliability engineering. More specifically,

Chapter discusses robust multi-response-based software reliability modeling and also illustrates the methodology on a large-scale communication software system. The two responses under study are time-between-detection of defects and effort. Optimization using response surface methodology is performed on overall desirability value.

Chapter deals with optimal release time problem for a modular software system considering the relative importance of the modules. To obtain the modular weights, Fuzzy Analytical Hierarchy Process (FAHP) is used.

The planning and implementation of software development processes go hand in hand with the user's expectations. Chapter describes a resource allocation problem with the objective of maximization of removal of fault content from a modular software. The allocation problem takes into account the different levels of severity of faults and module-wise cost is considered to be dependent on its severity level.

Chapter , characterization based on record values for exponentiated generalized family of distributions is provided. Two measures of reliability are considered. Point as well as interval estimates for unknown parameter(s) of reliability based on records are discussed. A number of parameter estimation methods are compared through simulation.

Chapter consists of weighted distance-based approach to rank the multi-release SRGMs using the Maximum Deviation Method (MDM) and Distance-Based approach (DBA). The models are ranked based on selection criteria having different priority weights and composite distance values.

This book will be an important resource of information for the postgraduate students, researchers, academicians, and software industry experts. Using optimization modeling, IT consultants, SRE research community, and system analysts can definitely make efficient software performance assessment and related strategic decisions related to software project budget utilization, delivery planning, software versioning to name a few.

We acknowledge Springer for this opportunity and professional support. Importantly, we would like to thank all the chapter authors and reviewers for their time and efforts for this work.