Teodor Rus

One side-effect of having made great leaps in computing over the last few decades, is the resulting over-abundance in software tools created to solve the diverse problems. Problem solving with computers has, in consequence, become more demanding; instead of focusing on the problem when conceptualizing strategies to solve them, users are side-tracked by the pursuit of even more programming tools (as available).Computer-Based Problem Solving Process is a work intended to offer a systematic treatment to the theory and practice of designing, implementing, and using software tools during the problem solving process. This method is obtained by enabling computer systems to be more Intuitive with human logic rather than machine logic. Instead of software dedicated to computer experts, the author advocates an approach dedicated to computer users in general. This approach does not require users to have an advanced computer education, though it does advocate a deeper education of the computer user in his or her problem domain logic.This book is intended for system software teachers, designers and implementers of various aspects of system software, as well as readers who have made computers a part of their day-today problem solving.

Our understanding of real-time systems is rapidly approaching a level of maturity which calls for a consolidation of our present knowledge and experience. Particularly effective in influencing our understanding has been the conjoining of universal algebra with the theory and practice of real-time system development. This interplay between algebraic methodology and software technology (AMAST) for real-time systems is the theme for this text.Each chapter, derived from papers presented at the all-invitation 1st AMAST International Workshop on Real-Time Systems (Iowa, 1993), is written by leaders in their field. The chapters form an intriguing mix of modeling, specification, verification, and implementation of “real” real-time systems. They cover untimed and timed systems, sequential, concurrent and embedded real-time processes, integrated models using state machines, temporal logic and algebraic data models, real-time CSP, verification tools, system design using temporal logic, symbolic checking of discrete time models, iterative symbolic approximation in timing verification and verification of audio protocols, timed full LOTOS and timed LOTOS extensions, LOTOS specification of telephone services and flight warning computers, and performance analysis.

SYSTEM SOFTWARE AND SOFTWARE SYSTEMS: Concepts and Methodology is intended to offer a systematic treatment of the theory and practice of designing and implementing system software.The two volumes systematically develop and apply the systems methodology for software development. For that the concept of a system is analysed and various types of systems used in computer science are systematized into a concept of an ad hoc system that is suitable as a mechanism for software development. The kernel of this methodology consists of a systematic approach for ad hoc systems development (specification, implementation, validation). The hardware and the software of a computer system are specified as ad hoc systems. Examples from various architectures, languages, and operating systems are provided as illustrations. Problems and their suggested solutions are provided at the end of each chapter. Further readings and a list of references conclude each chapter.These volumes are self-contained and may be used as textbooks for an introductory course on system software and for a course on operating system. However, a broad spectrum of professionals in computer science will benefit from it.

SYSTEM SOFTWARE AND SOFTWARE SYSTEMS: Concepts and Methodology is intended to offer a systematic treatment of the theory and practice of designing and implementing system software.The two volumes systematically develop and apply the systems methodology for software development. For that the concept of a system is analysed and various types of systems used in computer science are systematized into a concept of an ad hoc system that is suitable as a mechanism for software development. The kernel of this methodology consists of a systematic approach for ad hoc systems development (specification, implementation, validation). The hardware and the software of a computer system are specified as ad hoc systems. Examples from various architectures, languages, and operating systems are provided as illustrations. Problems and their suggested solutions are provided at the end of each chapter. Further readings and a list of references conclude each chapter.These volumes are self-contained and may be used as textbooks for an introductory course on system software and for a course on operating system. However, a broad spectrum of professionals in computer science will benefit from it.