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Software selection in large-scale software engineering: A model and criteria based on interactive rapid reviews.

Elizabeth Bjarnason¹, Patrik Åberg², Nauman Bin Ali³

¹Department of Computer Science, Lund University, Lund, Sweden.

Empirical Software Engineering

|March 6, 2023

Summary

This study introduces a technology-agnostic method for software component selection, addressing ad hoc practices in large-scale development. The developed model supports informed decisions by considering business, organizational, and technical factors holistically.

Keywords:

CBSE Component selection Component-based Rapid review Tool selection

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Area of Science:

Software Engineering
Information Systems
Decision Support Systems

Background:

Software selection in large-scale projects is often unstructured and lacks a holistic approach.
Existing component selection methods are frequently technology-specific and neglect business or ecosystem considerations.

Purpose of the Study:

To develop an industrially relevant, technology-agnostic method for informed software component selection.
To support practitioners in making decisions based on a holistic view of the development environment.

Main Methods:

Method engineering was used to iteratively develop the software selection method.
Interactive rapid reviews synthesized scientific literature and practitioner insights.
The method was co-designed and validated with industry practitioners from Ericsson AB.

Main Results:

A software component selection model was developed, comprising a high-level process and comprehensive assessment criteria.
The model integrates business, organizational, and technical factors for holistic evaluation.
Validation included focus groups and practical application within the case company.

Conclusions:

An industrially relevant component selection model was successfully developed through industry-academia collaboration.
The co-designed model offers a practical solution for informed decision-making in software development.
This approach demonstrates a viable strategy for integrating academic research with industry needs.