What is the expected effect of Level of Software Quality Implementation on Software Productivity and Product Quality?

Research Question

Main question:
What evidence is there for the accuracy/usefulness of the prediction and measurement methods?

Secondary Questions:
1) Is there any measurement that can support  prediction and measurement methods? If so, is it always true for different software processes?

2) Which factors (or drivers or constructs) have been used to define/compose/describe such prediction and measurement  methods?

Search String

(("software process" OR "software development" OR "software engineering processes" OR "business information system" OR "software maintenance" OR "software project" OR "open source project" OR "OSS project") AND (productivity OR efficiency OR "process performance" OR "development performance" OR "software performance" OR "project performance" OR "prediction method" OR "measurement method") AND (measure OR metric OR model OR predict OR estimate OR measurement OR estimation OR prediction) AND (empirical OR validation OR evaluation OR experiment OR example OR simulation OR analysis OR study OR interview))

Inclusion Criteria

• To talk about: Performance, productivity or efficiency of software development, software processes, software projects, software developers, or; Relations between different direct measurements or attributes (like size and effort, or reliability and effort, lead-time and resources, or multivariate relations) that are used to characterize the performance, productivity or efficiency of software development, software processes, software projects or software developers. Proof of concept, experiment, case study, example or other empirical research methods to show its applicability and usefulness/accuracy. It is also reasonable to consider papers that are based on real-world data from software repositories.

Exclusion Criteria

• Productivicty (efficiency) measurement and prediction is not the main focus. Talking about direct measures that are not combined with other measures and thus no claims regarding productivity, efficiency and performance are possible. The synthesis of evidence is based on the primary studies identified by the search. The secondary studies are excluded from the actual synthesis and results. Talking about measures for single techniques, which do not give an indication how well organizations or teams performs on the overall process level or within a development phase. Studies that have not evaluated a solution (be it in an experiment, proof of concept, or a case study) shall be excluded.

• Total quality in software development: An empirical study of quality drivers and benefits in Indian software projects
• Globally distributed software development project performance: an empirical analysis
• An empirical analysis of productivity and quality in software products

• Globally distributed software development project performance: an empirical analysis
• Study Type : Observational
• Quality evaluation
• Evidence
• An empirical analysis of productivity and quality in software products
• Study Type : Observational
• Quality evaluation
• Evidence
• Total quality in software development: An empirical study of quality drivers and benefits in Indian software projects
• Study Type : Observational
• Quality evaluation
• Evidence

• Software Quality Implementation affecting Software Productivity and Product Quality
• Evidence based on the paper "Globally distributed software development project performance: an empirical analysis"
• Evidence based on the paper "An empirical analysis of productivity and quality in software products"
• Evidence based on the paper "Total quality in software development: An empirical study of quality drivers and benefits in Indian software projects"
• Result

Research question

The aggregated evidence refers to research question about which factors have been used to define/compose/describe software productivity in prediction and measurement methods.

Software Quality Implementation affecting Software Productivity and Product Quality

The purpose of this synthesis is to characterize the effect of Level of Software Quality Implementation on software productivity from the point of view of SE researchers in the context of factors described/identified in productivity prediction and measurement methods. This new and aggregated evidence shows that  Level of Software Quality Implementation has a weakly positive or positive effect on software productivity (belief =62%). Besides, the results shows that Level of Software Quality Implementation has a a weakly positive or positive effect on software productivity (belief =49%).