While previously available methodologies for software – like those published in the early days of object technology – claimed to be appropriate for every conceivable project, situational method engineering (SME) acknowledges that most projects typically have individual characteristics and situations. Thus, finding the most effective methodology for a particular project needs specific tailoring to that situation. Such a tailored software development methodology needs to take into account all the bits and pieces needed for an organization to develop software, including the software process, the input and output work products, the people involved, the languages used to describe requirements, design, code, and eventually also measures of success or failure. The authors have structured the book into three parts. Part I deals with all the basic concepts, terminology and overall ideas underpinning situational method engineering. As a summary of this part, they present a formal meta-model that enables readers to create their own quality methods and supporting tools. In Part II, they explain how to implement SME in practice, i.e., how to find method components and put them together and how to evaluate the resulting method. For illustration, they also include several industry case studies of customized or constructed processes, highlighting the impact that high-quality engineered methods can have on the success of an industrial software development. Finally, Part III summarizes some of the more recent and forward-looking ideas. This book presents the first summary of the state of the art for SME. For academics, it provides a comprehensive conceptual framework and discusses new research areas. For lecturers, thanks to its step-by-step explanations from basics to the customization and quality assessment of constructed methods, it serves as a solid basis for comprehensive courses on the topic. For industry methodologists, it offers a reference guide on features and technologies to consider when developing in-house software development methods or customising and adopting off-the-shelf ones.
Computing as a discipline is maturing rapidly. However, with maturity often comes a plethora of subdisciplines, which, as time progresses, can become isolationist. The subdisciplines of modelling, metamodelling, ontologies and modelling languages within software engineering e.g. have, to some degree, evolved separately and without any underpinning formalisms. Introducing set theory as a consistent underlying formalism, Brian Henderson-Sellers shows how a coherent framework can be developed that clearly links these four, previously separate, areas of software engineering. In particular, he shows how the incorporation of a foundational ontology can be beneficial in resolving a number of controversial issues in conceptual modelling, especially with regard to the perceived differences between linguistic metamodelling and ontological metamodelling. An explicit consideration of domain-specific modelling languages is also included in his mathematical analysis of models, metamodels, ontologies and modelling languages. This encompassing and detailed presentation of the state-of-the-art in modelling approaches mainly aims at researchers in academia and industry. They will find the principled discussion of the various subdisciplines extremely useful, and they may exploit the unifying approach as a starting point for future research.
This volume represents the first decision support book aimed at water quality management for lakes and reservoirs. The book offers both a retrospective view (in terms of summarizing past work) and a prospective view (in terms of forecasting the greater use of such models as part of much needed environmental decision support systems). The concepts of lake and reservoir simulation modeling, as well as the concepts of decision support systems, formalized within the information systems discipline, are supported by a wealth of case studies. Case studies in the early chapters concentrate more on the physical (dynamic and thermodynamic) parameters, while later chapters stress the need for a more detailed representation of the biology and chemistry. Other case studies emphasize the management use of the model. New tools and concepts are also presented to facilitate the transfer of case studies presented in this volume from the arena of research to that of operational and planning management. Water quality managers, research scientists, and water engineers will find this volume an exciting source of new ideas and concepts.
OPEN (Object-oriented Process, Environment and Notation) is an international de facto standard object-oriented development method developed and maintained by the OPEN Consortium. OPEN consists of the OPEN Modeling Language (OML) as well as process, metrics, etc. This book specifies OML, a small but vital component of the complete OPEN method. It uses diagrams, tables, Web references and text to present the syntax, semantics and rationale behind OML. It documents version 1.0 of OML so that object-oriented modelers can learn and use it, and upperCASE vendors can support it.
Computing as a discipline is maturing rapidly. However, with maturity often comes a plethora of subdisciplines, which, as time progresses, can become isolationist. The subdisciplines of modelling, metamodelling, ontologies and modelling languages within software engineering e.g. have, to some degree, evolved separately and without any underpinning formalisms. Introducing set theory as a consistent underlying formalism, Brian Henderson-Sellers shows how a coherent framework can be developed that clearly links these four, previously separate, areas of software engineering. In particular, he shows how the incorporation of a foundational ontology can be beneficial in resolving a number of controversial issues in conceptual modelling, especially with regard to the perceived differences between linguistic metamodelling and ontological metamodelling. An explicit consideration of domain-specific modelling languages is also included in his mathematical analysis of models, metamodels, ontologies and modelling languages. This encompassing and detailed presentation of the state-of-the-art in modelling approaches mainly aims at researchers in academia and industry. They will find the principled discussion of the various subdisciplines extremely useful, and they may exploit the unifying approach as a starting point for future research.
Aimed at modellers and developers, this book focuses on the specific activity of modelling the software development process using OPEN principles and the UML notation. An accompanying CD-ROM provides a demo CASE tool, which can be used to practice the exercises in the text.
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