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On the impact of service-oriented patterns on software evolvability: a controlled experiment and metric-based
Justus Bogner1,2, Stefan Wagner2, Alfred Zimmermann1
1Herman Hollerith Center, University of Applied Sciences Reutlingen, Boeblingen, Baden-Wuerttemberg, Germany.
Peerj. Computer Science
|April 5, 2021
Summary
Service-based design patterns showed no clear positive impact on software evolvability for inexperienced developers. While efficiency slightly improved in some tasks, metrics indicated increased system size and varied effects on coupling.
Area of Science:
- Software Engineering
- Empirical Software Engineering
- Software Design Patterns
Background:
- Design patterns aim to enhance software quality, but empirical evidence is often controversial.
- Limited studies exist on the impact of design patterns in newer paradigms like service- and microservice-based systems.
Purpose of the Study:
- To investigate the effect of four service-based design patterns on system evolvability for inexperienced developers.
- Examined patterns include Process Abstraction, Service Façade, Decomposed Capability, and Event-Driven Messaging.
Main Methods:
- A controlled experiment involved 69 Bachelor students modifying and extending two functionally equivalent web shop versions (one with patterns, one without).
- Evolvability was measured by participant effectiveness and efficiency.
- Structural maintainability metrics (size, granularity, complexity, cohesion, coupling) were also analyzed.
Main Results:
- Participants completed a similar number of tasks across both system versions.
- The pattern group showed a non-statistically significant 12% higher mean efficiency, with significant improvement only in the third task.
- Metric analysis revealed the pattern version had worse size and granularity but slightly better coupling metrics; complexity and cohesion were unaffected.
Conclusions:
- No decisive positive effect of service-based patterns was found for inexperienced developers or in metric analysis.
- The impact of these patterns might be more pronounced with more experienced developers or in settings requiring greater initial system understanding.
- Patterns increased system volume but showed potential for decreasing coupling in specific areas.
Keywords:
Controlled experimentDesign patternsEvolvabilityMetricsMicroservicesModifiabilityService-based systemsService-oriented architectureMore Related Videos
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