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Initially, computer systems performance analyses were carried out primarily because of limited resources. Due to ever increasing functional complexity of computational systems and user requirements, performance engineering continues to play a major role in software development. This book assesses the state of the art in performance engineering. Besides revised chapters drawn from two workshops on performance engineering held in 2000, additional chapters were solicited in order to provide complete coverage of all relevant aspects. The first part is devoted to the relation between software engineering and performance engineering; the second part focuses on the use of models, measures, and tools; finally, case studies with regard to concrete technologies are presented. Researchers, professional software engineers, and advanced students interested in performance analysis will find this book an indispensable source of information and reference.
Computer Science --- Engineering & Applied Sciences --- Computer systems --- Evaluation. --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Computer science. --- Computer system failures. --- Software engineering. --- Management information systems. --- Computer Science. --- System Performance and Evaluation. --- Software Engineering. --- Management of Computing and Information Systems. --- Electronic systems --- Cyberinfrastructure --- Computer system performance. --- Information Systems. --- Computer software engineering --- Engineering --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Computer failures --- Computer malfunctions --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Communication systems --- Failures
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Engineering sciences. Technology --- Computer. Automation --- technologiebeleid --- software engineering --- informatica management
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Long description: Die fortschreitende Digitalisierung erfordert offene und interoperabel agierende Softwaresysteme, die sich in eine global vernetzte Welt technologieneutral, aufwandsarm und standardisiert einbinden lassen. Im zunehmenden Maße gelten durch Unternehmen, Behörden und Interessengruppen spezifizierte bzw. offerierte Web-APIs dabei als Rückgrat resultierender Integrationsarchitekturen. Entscheidend für den erfolgreichen Einsatz von Web-APIs ist die Gewährleistung des Datenschutzes und der Datensicherheit sowohl aus Sicht der Anbieter als auch aus Sicht der entwicklerorientierten Nutzer. Im Mittelpunkt der Monografie stehen dem entsprechend die Möglichkeiten einer sicheren und regelkonformen Verwendung von Web-APIs. Nach einer begrifflichen Abgrenzung wird zunächst auf sicherheitsrelevante Anforderungen eingegangen. Dafür wurden verfügbare empirische Untersuchungen ausgewertet, aber auch eigenständige empirische Analysen durchgeführt. Nach der begrifflichen Klärung der Aufgaben eines den Lebenszyklus begleitenden API-Managements wird auf konstruktive und analytische Maßnahmen zur Qualitätssicherung von Web-APIs während der Softwareentwicklung eingegangen. In diesem Zusammenhang werden auch die Möglichkeiten einer DLT-basierten (Blockchain) Authentifizierung und Autorisierung der Zugriffe auf Web-APIs untersucht und dafür einsetzbare Frameworks vorgestellt. Im Sinne des ganzheitlichen Ansatzes (DevOps) wird schließlich auf die betrieblichen Aufgaben des Sicherheitsmanagements von Web-APIs eingegangen.
Blockchain --- Web-APIs --- API-Sicherheit --- API-Compliance --- API-Qualitätssicherung
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Not everything that counts can be counted. Not everything that is counted counts. Albert Einstein This is a book about software measurement from the practitioner's point of view and it is a book for practitioners. Software measurement needs a lot of practical guidance to build upon experiences and to avoid repeating errors. This book t- gets exactly this need, namely to share experiences in a constructive way that can be followed. It tries to summarize experiences and knowledge about software measurement so that it is applicable and repeatable. It extracts experiences and lessons learned from the narrow context of the specific industrial situation, thus facilitating transfer to other contexts. Software measurement is not at a standstill. With the speed software engine- ing is evolving, software measurement has to keep pace. While the underlying theory and basic principles remain invariant in the true sense (after all, they are not specific to software engineering), the application of measurement to specific contexts and situations is continuously extended. The book thus serves as a ref- ence on these invariant principles as well as a practical guidance on how to make software measurement a success.
Engineering sciences. Technology --- Computer. Automation --- technologiebeleid --- software engineering --- informatica management
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