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Software Metric
In software engineering and development, a software metric is a standard of measure of a degree to which a software system or process possesses some property. Even if a metric is not a measurement (metrics are functions, while measurements are the numbers obtained by the application of metrics), often the two terms are used as synonyms. Since quantitative measurements are essential in all sciences, there is a continuous effort by computer science practitioners and theoreticians to bring similar approaches to software development. The goal is obtaining objective, reproducible and quantifiable measurements, which may have numerous valuable applications in schedule and budget planning, cost estimation, quality assurance, testing, software debugging, software performance optimization, and optimal personnel task assignments. Common software measurements Common software measurements include: * ABC Software Metric * Balanced scorecard * Bugs per line of code * Code coverage * ...
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Software Engineering
Software engineering is a systematic engineering approach to software development. A software engineer is a person who applies the principles of software engineering to design, develop, maintain, test, and evaluate computer software. The term '' programmer'' is sometimes used as a synonym, but may also lack connotations of engineering education or skills. Engineering techniques are used to inform the software development process which involves the definition, implementation, assessment, measurement, management, change, and improvement of the software life cycle process itself. It heavily uses software configuration management which is about systematically controlling changes to the configuration, and maintaining the integrity and traceability of the configuration and code throughout the system life cycle. Modern processes use software versioning. History Beginning in the 1960s, software engineering was seen as its own type of engineering. Additionally, the development of ...
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First Pass Yield
First-pass yield (FPY), also known as throughput yield (TPY), is defined as the number of units coming out of a process divided by the number of units going into that process over a specified period of time. Example Consider the following: You have a process that is divided into four sub-processes: A, B, C and D. Assume that you have 100 units entering process A. To calculate first time yield (FTY) you would: #Calculate the yield (number out of step/number into step) of each step. #Multiply these together. For example: (# units leaving the process as good parts) / (# units put into the process) = FTY *100 units enter A and 90 leave as good parts. The FTY for process A is 90/100 = 0.9000 *90 units go into B and 80 leave as good parts. The FTY for process B is 80/90 = 0.8889 *80 units go into C and 75 leave as good parts. The FTY for C is 75/80 = 0.9375 *75 units go into D and 70 leave as good parts. The FTY for D is 70/75 = 0.9333 The total first time yield is equal to FTYofA * ...
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Cycle Time (software)
In software engineering, cycle time is a software metric which estimates development speed in agile software projects. The cycle time measures how long it takes to process a given job - whether it's a client request, an order,  or a defined production process stage. The crucial aspect of measuring the cycle time is considering only the active, operating processing time and discarding any idle, waiting, or service times occurring mid-process. The cycle time is a useful metric. In contrast to lead time, which measures the time that the customer waits for their request to be realized, cycle time only counts the time the team spends actively working on the request. The core use of cycle times is to identify the average development times for specific teams or given request types. This lets the software engineering manager predict team engagements and better schedule work. See also * Software quality In the context of software engineering, software quality refers to two related b ...
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Software Quality
In the context of software engineering, software quality refers to two related but distinct notions: * Software functional quality reflects how well it complies with or conforms to a given design, based on functional requirements or specifications. That attribute can also be described as the fitness for purpose of a piece of software or how it compares to competitors in the marketplace as a worthwhile Product (business), product. It is the degree to which the Software verification and validation#Software validation, correct software was produced. * Software structural quality refers to how it meets non-functional requirements that support the delivery of the functional requirements, such as robustness or maintainability. It has a lot more to do with the degree to which the software works as Software verification and validation#Software verification, needed. Many aspects of structural quality can be evaluated only Static testing, statically through the analysis of the software inne ...
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CISQ
The Consortium for IT Software Quality (CISQ) is an IT industry group comprising IT executives from the Global 2000, systems integrators, outsourced service providers, and software technology vendors committed to making improvements in the quality of IT application software. Overview Jointly organized by the Software Engineering Institute (SEI) at Carnegie Mellon University and the Object Management Group (OMG), CISQ is designed to be a neutral forum in which customers and suppliers of IT application software can develop an industry-wide agenda of actions for defining, measuring, and improving IT software quality. History CISQ was launched in August 2009 by 24 founders including SEI and OMG. The founders of CISQ are Paul D. Nielsen, Director and CEO of SEI and Richard Mark Soley, Chairman and CEO of OMG. Bill Curtis, the co-author of the CMM framework is CISQ's first Director. Software measurement and productivity expert Capers Jones is a CISQ Distinguished Advisor. In Se ...
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Weighted Micro Function Points
Weighted Micro Function Points (WMFP) is a modern software sizing algorithm which is a successor to solid ancestor scientific methods as COCOMO, COSYSMO, maintainability index, cyclomatic complexity, function points, and Halstead complexity. It produces more accurate results than traditional software sizing methodologies, while requiring less configuration and knowledge from the end user, as most of the estimation is based on automatic measurements of an existing source code. As many ancestor measurement methods use source lines of code (SLOC) to measure software size, WMFP uses a parser to understand the source code breaking it down into micro functions and derive several code complexity and volume metrics, which are then dynamically interpolated into a final effort score. In addition to compatibility with the waterfall software development life cycle methodology, WMFP is also compatible with newer methodologies, such as Six Sigma, Boehm spiral, and Agile (AUP/Lean/XP/DSDM) meth ...
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