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Open research questions in Software Engineering Techniques and Practices

32 unresolved questions extracted from the limitations and future-work sections of 936 Software Engineering Techniques and Practices papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • This should be validated by feedback loops from the participants. , data volume, multilingual input, lack of standard formats, outdated systems) Manual moderation, large volume of participation (moderation, report, citizens as recipients of deliberation), limited analytical capabilities (summary, argument extraction, sentiment analysis etc. , data volume, multilingual input, lack of standard formats, outdated systems) The primary (socio-)technical challenge – as it has been from the outset – is to embed the ideal (abstract) form of deliberative dialogue that the graph enables into the pragmatic decision-making processes of our societies. , data volume, multilingual input, lack of standard formats, outdated systems) No 5. , data volume, multilingual input, lack of standard formats, outdated systems) No specific. No voting, no consensus measurement, no structured prioritization.

    AI4Deliberation_D5.1 - Pilots plan, operation and evaluation · 2026 · DOI

  • This study addresses a gap in the literature by establishing a methodological standard for applying the selective coding technique of Grounded Theory (GT), while also explaining the phenomenon through the integration of the Technology- Organization-Environment (TOE) and Antecedents-Behavior- Consequences (ABC) models.

    An application of selective coding to create a theoretical framework on the factors that influence success or failure in adopting the SIG-UFRN software ecosystem · 2026 · DOI

  • The study extends prior ERP research by specifying a structured competency to critical success factor to success pathway that clarifies the role of consultants and helps explain mixed findings regarding training, testing, and teamwork in ERP implementations.

    Consultant competencies and ERP project success · 2026 · DOI

  • Agile software development projects have become the dominant mode of IT project delivery globally, yet the relationship between AI-enabled project monitoring tools and agile team performance remains theoretically underdeveloped and empirically underexplored.

    From Tools to Teams: How AI-Enabled Project Monitoring Shapes Team Performance in Agile Software Development Projects · 2026 · DOI

  • Future investigations should focus on the development of process templates for standardized testing scenarios and the evaluation of the framework across diverse software domains, such as embedded systems (where hard- ware constraints add complexity to PT) versus web applications (where rapid deployment cycles demand high-frequency testing).

    Innovating proficiency testing in software: a digital process with LLM-integrated support tool and automated indicators · 2026 · DOI

  • Several limitations should be acknowledged. First, the evaluation of CRAM was conducted within a single organizational context, which may limit the generalizability of the findings across different industries or organizational structures. Second, the weighting mechanism relied primarily on expert-informed judgment and practical experience rather than formal statistical optimization techniques. Third, the evaluation dataset remains moderate in size relative to broader industrial applications. Despite these limitations, the study provides strong initial evidence supporting the feasibility and practical value of structured client readiness assessment in software development environments.

    Design Science Research Approach for Quantifying Client Readiness in Custom Software Projects (CRAM) · 2026 · DOI

  • Future research should focus on validating CRAM across multiple organizations and industries to improve generalizability. Additional studies may incorporate data-driven weighting techniques such as the Analytic Hierarchy Process (AHP), Delphi-based expert consensus methods, or machine learning approaches to enhance scoring accuracy and predictive capability. Further work may also investigate the integration of CRAM with Customer Relationship Management (CRM) systems and predictive analytics platforms to support automated pre-sales intelligence and long- term project outcome forecasting.

    Design Science Research Approach for Quantifying Client Readiness in Custom Software Projects (CRAM) · 2026 · DOI

  • In the systematic review of the selected studies, only 6 works were found to be relevant to the research objective, highlighting that the topic of agile portfolio management is underexplored in the literature, as no articles were found that mention the most commonly used frameworks today and/or demonstrate how they are implemented.

    Agile portfolio management in the context of development digital systems: a bibliometric and systematic review of the literature · 2023 · DOI

  • Whilst there have been several advocates for the application of software engineering (SE) methodologies in the development of agent-based models and simulations in the social sciences, the uptake of these techniques in the research community has been limited – or if authors are using such techniques, their use is underreported.

    Agile Development of an Attitude-Behaviour Driven Simulation of Alcohol Consumption Dynamics · 2015 · DOI

  • By filling this gap in the literature, the study generates insights that can also be extrapolated to situations in which people do not need to work remotely after a pandemic but might still anticipate and plan for new types of disruptions in the workplace.

    The influence of remote work on scrum-based information technology projects management: insights for success · 2024 · DOI

  • The bug was the result of a faulty development cycle that did not account for communication about possible errors and adequate testing before the product was launched.

    COMPARATIVE ANALYSIS BETWEEN MAINSTREAM SOFTWARE DEVELOPMENT METHODOLOGIES · 2021 · DOI

  • Problem: While much research has been done on measurement in large companies in developed countries, there is limited research on measurement in start-ups.

    Measurements in the Early Stage Software Start-ups: A Multiple Case Study in a Nascent Ecosystem · 2018 · DOI

  • The present study addresses this gap in the literature by using a split-sample online concept testinglike study to compare the testing results in traditional and virtual environments five heterogeneous innovations.

    Devil or Angel? · 2011 · DOI

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32 open questions have been extracted from the limitations and future-work passages of 936 Software Engineering Techniques and Practices papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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