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Foundations of software and system performance engineering : process, performance modeling, requirements, testing, scalability, and practice / Andre B. Bondi.

By: Bondi, André B
Material type: TextTextPublisher: Upper Saddle River : Addison-Wesley / Pearson Education, c.2015Description: xxxi, 411 p. : ill. ; 23 cmISBN: 9780321833822 (pbk. : alk. paper); 0321833821Subject(s): Computer systems -- Evaluation | Computer systems -- Reliability | Computer software -- Validation | Computer architecture -- Evaluation | | Informatics and Computer Science June2015 November2015 | Systems engineeringDDC classification: 005.14
Contents:
Why performance engineering? Why performance engineers? -- Performance metrics -- Basic performance analysis -- Workload identification and characterization -- From workloads to business aspects of performance requirements -- Qualitative and quantitative types of performance requirements -- Eliciting, writing, and managing performance requirements -- System measurement techniques and instrumentation -- Performance testing -- System understanding, model choice, and validation -- Scalability and performance -- Performance engineering pitfalls -- Agile processes and performance engineering -- Working with stakeholders to learn, influence, and tell the -- Performance engineering story -- Where to learn more.
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Item type Current location Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library
Lower Floor
Alahram 005.14 BON (Browse shelf) 324 Available 000038658
Total holds: 0

Index : p. 385-411.

Bibliography : p. 377-384.

Why performance engineering? Why performance engineers? -- Performance metrics -- Basic performance analysis -- Workload identification and characterization -- From workloads to business aspects of performance requirements -- Qualitative and quantitative types of performance requirements -- Eliciting, writing, and managing performance requirements -- System measurement techniques and instrumentation -- Performance testing -- System understanding, model choice, and validation -- Scalability and performance -- Performance engineering pitfalls -- Agile processes and performance engineering -- Working with stakeholders to learn, influence, and tell the -- Performance engineering story -- Where to learn more.

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