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PRACTICAL QUALITY ANALYSIS OF OPEN SOURCE SOFTWARE
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The success of any project is determined by its ability to meet the needs of the consumer, and therefore ensuring a high level of quality is a necessary task of any production, including software engineering. Insufficient quality of the created software requires many IT-organizations, up to 70% of the budget of the information system to reserve for the maintenance stage, with up to 60% of all software modifications performed to eliminate errors, and only the remaining 40% - to correct software within the business process, improvement certain indicators of software quality, or to prevent potential problems. Software quality is a complex concept. Standards highlight the quality of development processes, internal and external quality of the software product, the quality of the software product at the stage of use. For each of the components of quality can be called a set of metrics that determine the quality of the software product. The resulting structure is called the software quality model. Software metrics are a measure that allows you to get the numerical value of a property of software or its specifications, as well as the method of its calculation. Metrics allow you to get numeric values for each property of the software or its specifications. Of particular interest are software complexity metrics. Complexity is an important factor on which other parameters of software quality depend, such as accuracy, correctness, reliability, convenience of support. The existence of methods and algorithms for automatic calculation of software complexity metrics using software allows you to get a comprehensive formal report on the quality of software in a short time. This allows for objective monitoring of the quality of software throughout the project life cycle, make adjustments to the project plan, as well as make timely decisions about the need for refactoring.
Kyiv National University of Construction and Architecture
Title: PRACTICAL QUALITY ANALYSIS OF OPEN SOURCE SOFTWARE
Description:
The success of any project is determined by its ability to meet the needs of the consumer, and therefore ensuring a high level of quality is a necessary task of any production, including software engineering.
Insufficient quality of the created software requires many IT-organizations, up to 70% of the budget of the information system to reserve for the maintenance stage, with up to 60% of all software modifications performed to eliminate errors, and only the remaining 40% - to correct software within the business process, improvement certain indicators of software quality, or to prevent potential problems.
Software quality is a complex concept.
Standards highlight the quality of development processes, internal and external quality of the software product, the quality of the software product at the stage of use.
For each of the components of quality can be called a set of metrics that determine the quality of the software product.
The resulting structure is called the software quality model.
Software metrics are a measure that allows you to get the numerical value of a property of software or its specifications, as well as the method of its calculation.
Metrics allow you to get numeric values for each property of the software or its specifications.
Of particular interest are software complexity metrics.
Complexity is an important factor on which other parameters of software quality depend, such as accuracy, correctness, reliability, convenience of support.
The existence of methods and algorithms for automatic calculation of software complexity metrics using software allows you to get a comprehensive formal report on the quality of software in a short time.
This allows for objective monitoring of the quality of software throughout the project life cycle, make adjustments to the project plan, as well as make timely decisions about the need for refactoring.
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