Startups Transitioning from Early to Growth Phase - A Pilot Study of Technical Debt Perception

Cico, Orges; Souza, Renata M. C. R. de; Jaccheri, Letizia; Duc, Anh Nguyen; Machado, Ivan

doi:10.1007/978-3-030-67292-8_8

Cited by 14 publications

(16 citation statements)

References 25 publications

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“…Cico et al [20] interviewed 13 CEOs and CTOs from seven startups to investigate how TD perception changes over the startup evolution stages. The study found that startups in the early stage accept and ignore TD due to different factors such as requirement validation and lack of developer competence.…”

Section: Td and Software Startupsmentioning

confidence: 99%

The negative implications of technical debt on software startups

Aldaeej

Seaman

2022

Proceedings of the 5th International Workshop on Software-Intensive Business: Towards Sustainable Software Business

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Section: Td and Software Startupsmentioning

confidence: 99%

The negative implications of technical debt on software startups

Aldaeej

Seaman

2022

Proceedings of the 5th International Workshop on Software-Intensive Business: Towards Sustainable Software Business

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“…3) Framework Domains and Dimensions. Our framework relies on dimensions from our previously proposed student team-centered model [15], our growth-phase startup research [40][41][42], and opinions gathered from renowned experts in the startup education field (Table 2). Meanwhile, Figure 5 provides a graphical represenation of our proposed framework characterized by its domains, with corresponding dimensions categorized in conceptual and practical areas.…”

Section: A Framework Development 1) Domains Established From Systemat...mentioning

confidence: 99%

The development and validation of a framework for teaching software engineering through startup practice in higher education

Cico

Duc

Jaccheri

2021

2021 IEEE Frontiers in Education Conference (FIE)

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Context: Approaches to teaching software engineering are becoming more interdisciplinary and teamcentered, similar to a startup practice context. Therefore, educators must have an adequate framework for supporting software engineering teaching through startup practice. However, only a meager set of existing frameworks introduce startup practice to teach software engineering. Aim: Our study aims to develop and validate a framework for teaching software engineering through startup practice in higher education. Method: We developed a framework for introducing startup practices in software engineering education. We first identified the framework domains (course teaching and design perspectives, course theoretical lens, and course design and interaction practices) based on a previous literature review pinpointing lean software startups as part of software engineering education research. We further identified dimensions for each domain based on investigations in both our software engineering experience-based course and growth phase startup context. Finally, we validated the framework using a Delphi method. Results: We found that the perception of the framework dimensions was positive among the experts who, on average, rated 14 out of 19 dimensions as highly important (approximately 75%) and the rest (25%) as of average importance. From the current results, we are able to deduce that our proposed framework can provide realistic learning expectations for SE students but also for other disciplines that can relate to software engineering. Contribution: The study's outcomes contribute to developing and validating a framework for teaching software engineering through startup practice in higher education. Our framework lays a foundation for educators and researchers by successfully combining experience-based software engineering courses with lean software startup industry practices. Furthermore, our framework contributes to students acquiring adequate professional skills to address societal challenges with a mindset focused on increased innovation and startup formation.

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“…Two in particular focus on TD perception in early-phase startups [11,1]. A more recent study uncovers four perceptual dimensions of TD (ignore, accept, avoid, and manage) in growth-phase startups [8]. Studies on startups' pivoting and its relationship to TD are scarce.…”

Section: Td and Pivoting In Growth Phase Startups: A Preliminary Anal...mentioning

confidence: 99%

“…However, the study provides no evidence of how TD is related to different pivoting scenarios in various startup lifecycles. Of these two studies, the first focuses on an innovative perspective of various TD perceptions [8] and the other [13] concerns the relationship between TD and pivoting. We thus argue for the need to deepen understanding of the influences of TD and pivoting.…”

Section: Td and Pivoting In Growth Phase Startups: A Preliminary Anal...mentioning

confidence: 99%

“…Combining these findings, we categorize the influence of TD on pivoting and the growth phase TD processes in pivoting scenarios. The different categories we identify in this paper are based on the pivoting concepts in software startups [4] and our experience in growth-phase startups' TD [5,8]. Specifically, we identify three manners that TD influences pivoting in growth-phase startups:…”

Section: Introductionmentioning

confidence: 99%

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Toward a Technical Debt Relationship with the Pivoting of Growth Phase Startups

Cico

Besker

Martini

et al. 2021

Product-Focused Software Process Improvement

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Context: Pivot has been a common strategical tactic of startups by shifting course of actions to adapt to environmental changes to the companies. Among many factors influencing the decisions of pivot or preserve, technical characteristics of the product and its evolution are possible triggering factors. We have learned that technical debt is an inherent phenomenon in startups that hinders later growth. However, we do not yet know how technical debt might lead to pivoting in startups and what TD processes we observe in different pivoting scenarios. Aim: Our goal is to evaluate how technical debt influences pivoting in growthphase startups. Methodology: We conducted an empirical study on 11 software startups in Norway and Brazil and analyzed qualitative data using thematic analysis. Results: We identified three ways that technical debt influences pivoting: (1) direct, (2) indirect, and (3) no-influence. Managing and avoiding technical debt significantly reduces the likelihood of technology pivoting and restrains indirect effects on other pivoting types. Contribution: Our study will enable practitioners to address the influence of technical debt on pivoting in growth-phase software startups. Future researchers can benefit from our findings by conducting exploratory studies and providing educated recommendations.

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Startups Transitioning from Early to Growth Phase - A Pilot Study of Technical Debt Perception

Cited by 14 publications

References 25 publications

The negative implications of technical debt on software startups

The negative implications of technical debt on software startups

The development and validation of a framework for teaching software engineering through startup practice in higher education

Toward a Technical Debt Relationship with the Pivoting of Growth Phase Startups

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