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Reliability Tools
Reliability Tools

The basis of all reliability tools is statistical analysis - any tools with the ability to analyze data sets and basic statistical techniques. Each of the software reliability approaches has an appropriate tool set: Fault forecasting - reliability models, historic data analysis, failure data collection, functional profiling, operational environment profiling;

Tags statistical analysis, construction tools, decision verification, redundancy

Fault Tolerance
Fault Tolerance

Fault tolerance is the basic ability of a software system to continuously deliver service to its users in the presence of faults. This approach to software reliability addresses how to keep a system functioning after the faults in the delivered system manifest themselves. The

Tags fault tolerance, life cycle, fault forecasting, software product

Fault Removal
Fault Removal

The old saying "an ounce of prevention is worth a pound of cure" is nowhere more true than in fault removal. Isolating a fault once it is incorporated into a delivered system is from 10 to 100 times more costly than preventing it in the first place. It has been the authors

Tags operating system, fault removal, life cycle

Fault Prevention
Fault Prevention

Fault prevention includes iterative refinement of the system requirements and engineering software specifications with modeling, verifiable design techniques, and best-of-breed coding practices. Prevention occurs during the product development phases of a project where the

Tags product development, fault prevention, life cycle

Fault Forecasting
Fault Forecasting

Fault forecasting is the predictive approach to software reliability engineering. Forecasting is a front-end product development life cycle exercise. It is done during system exploration and requirements definition. Mature development organizations use fault forecasting as part of

Tags life cycle, software reliability, fault forecasting, software engineering

Reliability
Reliability

Software reliability has been listed as a key quality measure for as long as software engineering has been defined. Figure 1 represents the quality factor topology as presented by McCall, Richards, and Walters in their 1977 work. These factors are discussed in this blog. Particular

Tags software reliability, software engineering, topology, software metrics, life cycle

SWEBOK and Quality Software Project Management
SWEBOK and Quality Software Project Management

The final mapping that is required to establish software engineering in the project management arena is the SWEBOK which may be seen in Tables 1 through 4.

Tags software engineering, software project, software development project, swebok

SWEBOK and the 34 Software Project Management Competencies
SWEBOK and the 34 Software Project Management Competencies

The SWEBOK is focused on the body of knowledge particularly for software engineering. The 34 competencies for the software project management certification program emphasize the management of software development projects. As can be seen from the six segments

Tags software engineering, software project, software development project, swebok, pmbok

SWEBOK and the SEI CMM
SWEBOK and the SEI CMM

Other sections in this blog refer to the SEI CMM, particularly with regard to the way that model supports the blog topic - life cycles, peer reviews, metrics, etc. The CMM is divided into five maturity levels. They are well-defined evolutionary plateaus aimed toward achieving a

Tags software process, life cycle, maturity level, key process area

Software Engineering Body of Knowledge
Software Engineering Body of Knowledge

The software engineering body of knowledge is an all-inclusive term that explains the sum of knowledge within the profession of software engineering. Since it is n not possible to put the full body of knowledge of even an emerging discipline, such as software engineering, into a

Tags software engineering, swebok project, computer science, electrical engineering

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