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Predicting Quality Attributes Of Software Product Lines Using Software And Network Measures And Sampling.pdf

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Preview of Predicting Quality Attributes of Software Product Lines Using Software and Network Measures and Sampling
🔗 Source: infosun.fim.uni-passau.de
📊 Size: 603 KB
👤 Author: Franco M
⬇️ Downloads: 199

Summary

Researchers propose a systematic approach to predict quality attributes of software products in a product line, using software and network measures, and a smart sampling algorithm. The goal is to efficiently predict quality attributes, such as performance, reliability, and footprint, without measuring every single product. The approach uses static data and makes qualitative statements about products, such as identifying products with low memory consumption. The prediction process consists of two steps: defining quality categories and finding predictors, and using these predictors to sample representative feature sets and predict which products belong to which quality category.

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Description

Researchers propose a systematic approach to predict quality attributes of software products in a product line, using software and network measures, and a...

Technical Information

  • File Format: PDF
  • File Size: 603 KB
  • Pages: 5
  • Language: EN
  • Author: Franco M
  • Total Downloads: 199
  • Last Updated: 1 month ago

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This PDF document about Predicting Quality Attributes of Software Product Lines Using Software and Network Measures and Sampling provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Predicting Quality Attributes of Software Product Lines Using Software and Network Measures and Sampling.

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Predicting guidePredicting tutorialQuality guideQuality tutorialAttributes guideAttributes tutorialSoftware guideSoftware tutorialProduct guideProduct tutorialLines guideLines tutorialUsing guideUsing tutorialSoftware guideSoftware tutorialNetwork guideNetwork tutorialMeasures guideMeasures tutorialSampling guideSampling tutorial

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