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Measuring the software process: statistical process control for software process improvement

By: Contributor(s): Series: SEI series in software engineeringPublication details: New Delhi Pearson Education 1999Edition: Low Price EditionDescription: xxii, 250 pISBN:
  • 9788131715932
Subject(s): DDC classification:
  • 005.14
Summary: This book is about using statistical process control (SPC) and control charts to measure and analyze software processes. It shows how characteristics of software products and processes can be measured and analyzed using statistical process control so that the performance of activities that produce the products can be managed, predicted, controlled, and improved to achieve business and technical goals. If you are a software manager or practitioner who has responsibilities for product quality or process performance, and if you are ready to define, collect, and use measurements to manage, control, and predict your software processes, then this book is for you. It will put you on the road to using measurement data to control and improve process performance. Not only will the discussions here introduce you to important concepts, but also they will introduce you to tried-and-true process measurement and analysis methods as set forth in a software environment.
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Item type Current library Item location Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 3-A / Slot 71 (0 Floor, West Wing) General Stacks 005.14 F5M3 (Browse shelf(Opens below)) Available 164464

This book is about using statistical process control (SPC) and control charts to measure and analyze software processes. It shows how characteristics of software products and processes can be measured and analyzed using statistical process control so that the performance of activities that produce the products can be managed, predicted, controlled, and improved to achieve business and technical goals. If you are a software manager or practitioner who has responsibilities for product quality or process performance, and if you are ready to define, collect, and use measurements to manage, control, and predict your software processes, then this book is for you. It will put you on the road to using measurement data to control and improve process performance. Not only will the discussions here introduce you to important concepts, but also they will introduce you to tried-and-true process measurement and analysis methods as set forth in a software environment.

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