Software Engineering Knowledge Areas in Startup Companies: A Mapping Study

TL;DR

This study systematically maps software engineering practices in startups, revealing gaps in knowledge areas and highlighting the need for more rigorous research to support startup software development effectively.

Contribution

It provides a comprehensive mapping of existing software engineering practices in startups and identifies significant gaps and research needs.

Findings

54 practices identified across 14 studies

Most SWEBOK knowledge areas are underrepresented

Current research lacks rigor and reliability

Abstract

Background - Startup companies are becoming important suppliers of innovative and software intensive products. The failure rate among startups is high due to lack of resources, immaturity, multiple influences and dynamic technologies. However, software product engineering is the core activity in startups, therefore inadequacies in applied engineering practices might be a significant contributing factor for high failure rates. Aim - This study identifies and categorizes software engineering knowledge areas utilized in startups to map out the state-of-art, identifying gaps for further research. Method - We perform a systematic literature mapping study, applying snowball sampling to identify relevant primary studies. Results - We have identified 54 practices from 14 studies. Although 11 of 15 main knowledge areas from SWEBOK are covered, a large part of categories is not. Conclusions - Existing research does not provide reliable support for software engineering in any phase of a startup life cycle. Transfer of results to other startups is difficult due to low rigor in current studies.