AI and ML for Software Product Management: A Framework for Emerging Challenges
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Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Software engineering and technology (MPSOF), MSc
Publicerad
2024
Författare
JÖNMARK, JULIA
SÖDERSTRÖM, HANNA
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
In the rapidly evolving landscape of software product management (SPM), the integration
of artificial intelligence (AI) and machine learning (ML) presents both
unprecedented opportunities and significant challenges. This thesis investigates the
impact of AI and ML on SPM practices and develops a comprehensive framework
tailored to address the emerging needs of this dynamic field. Utilizing a mixedmethod
approach, the study first conducts a systematic literature review to identify
the current utilization and challenges of AI and ML within SPM. This is followed by
empirical data collection through interviews with professionals in the field, ensuring
a robust foundation for framework development. The research findings reveal that
while AI and ML can significantly enhance decision-making and efficiency in SPM,
they also introduce complexities related to integration, ethics, and management. In
response, this thesis proposes a novel SPM framework that incorporates how SPM
should use AI and ML components and tools effectively, focusing on enhancing SPM
and aligning with digital transformation and digitalization goals. The framework is
validated through a workshop and an interview with experts in the field. This study
aims to bridge a crucial gap in academic literature and to also offer practical insights
for individuals and organizations aiming to leverage AI and ML for enhanced
SPM strategies, ensuring both competitive advantage and alignment with evolving
technological landscapes.
Beskrivning
Ämne/nyckelord
Software Product Management , Artificial Intelligence , Machine Learning , Framework , Digital Transformation , Digitalization