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Related Experiment Video

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A benchmarking program to support software process improvement adaptation in a developing country, a Pakistan case.

Umema Hani1, Khalid Khan1, Usman Amjad1

  • 1COCIS, Karachi Institute of Economics and Technology, Karachi, Sindh, Pakistan.

Peerj. Computer Science
|May 31, 2022
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Summary
This summary is machine-generated.

Software process improvement (SPI) frameworks enhance software quality and customer satisfaction. This study quantifies SPI benefits, bridging gaps in metrics for better project performance and defect-free delivery.

Keywords:
CMMI benchmarksPerformance improvement benchmarksProductivity improvementQuality managementSoftware process improvement

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Area of Science:

  • Software Engineering
  • Information Systems
  • Project Management

Background:

  • Standardization of software development processes using frameworks like Capability Maturity Model Integration (CMMI) and International Organization for Standardization (ISO) is crucial for project success.
  • Organizations in developing countries often struggle to achieve desired Software Process Improvement (SPI) benefits due to a lack of benchmarking.
  • Bridging the gap between project performance, productivity, and SPI metrics is essential for realizing full benefits.

Purpose of the Study:

  • To quantify the benefits of Software Process Improvement (SPI) by addressing existing gaps in measurement.
  • To identify a standardized set of 44 significant base metrics related to Effort, Schedule, Cost, Productivity, Quality, and Customer Satisfaction (ESCPQC).
  • To apply a conceptual framework to analyze SPI benefits in real-world projects.

Main Methods:

  • Quantification of SPI benefits through a conceptual framework applied to data from 62 software projects.
  • Identification and application of 44 significant base metrics covering ESCPQC.
  • Analysis of the "introduction of change effect" on SPI benefits.

Main Results:

  • SPI adaptation demonstrated benefits including improved quality, customer satisfaction, and reduced effort.
  • Schedule metrics showed a significant reduction at maturity level 3, with an increase at higher maturity levels.
  • Quantified the "introduction of change effect" and established a trustable mechanism for communicating SPI benefits.

Conclusions:

  • Software Process Improvement (SPI) yields tangible benefits in quality, customer satisfaction, and effort, though schedule metrics require careful consideration of maturity levels.
  • The identified 44 base metrics provide a standardized approach for measuring SPI effectiveness.
  • Effective benchmarking and a trustable communication mechanism are key to maximizing SPI benefits in software development.