Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Author: search.filters.author.Kennouche, Dhia EddinePublication Index: search.filters.publicationIndex.Scopus

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  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Automating Software Size Measurement With Language Models: Insights From Industrial Case Studies
    (Elsevier Science Inc, 2026) Unlu, Huseyin; Tenekeci, Samet; Kennouche, Dhia Eddine; Demirors, Onur
    Objective software size measurement is critical for accurate effort estimation, yet many organizations avoid it due to high costs, required expertise, and time-consuming manual effort. This often leads to vague predictions, poor planning, and project overruns. To address this challenge, we investigate the use of pre-trained language models - BERT and SE-BERT - to automate size measurement based on textual requirements using COSMIC and MicroM methods. We constructed one heterogeneous dataset and two industrial datasets, each manually measured by experienced analysts. Models were evaluated in three settings: (i) generic model evaluation, where the models are trained and tested on heterogeneous data, (ii) internal evaluation, where the models are trained and tested on organization-specific data, and (iii) external evaluation, where generic models were tested on organization-specific data. Results show that organization-specific models significantly outperform generic models, indicating that aligning training data with the target organization's requirement style is critical for accuracy. SE-BERT, a domain-adapted variant of BERT, improves performance, particularly in low-resource settings. These findings highlight the practical potential of tailoring training data for broader adoption and cost-effective software size measurement in industrial contexts.
  • Article
    Citation - WoS: 9
    Citation - Scopus: 13
    Microservice-Based Projects in Agile World: a Structured Interview
    (Elsevier, 2024) Unlu, Huseyin; Kennouche, Dhia Eddine; Soylu, Gorkem Kiling; Demirors, Onur
    Context: During the last decade, Microservice-based software architecture (MSSA) has been a preferred design paradigm for a growing number of companies. MSSA, specifically in the form of reactive systems, has substantial differences from the more conventional design paradigms, such as object-oriented analysis and design. Therefore, adaptation demands software organizations to transform their culture. However, there is a lack of research studies that explore common practices utilized by software companies that implement MSSAs.Objective: In this study, our goal is to get an insight into how practices such as an agile methodology, software analysis, design, test, size measurement, and effort estimation are performed in software projects which embrace the Microservice-based software architecture paradigm. Together with the identification of practices utilized for the MSSA paradigm, we aim to determine the challenges organizations face to adopt microservice-based software architectures.Method: We performed a structured interview with participants coming from 20 different organizations over different roles, domains, and countries to collect information on their views, experience, and the challenges faced.Results: Our results reveal that organizations find agile development compatible with microservices. In general, they continue to use traditional object-oriented modeling notations for analysis and design in an abstract way. They continue to use the same subjective size measurement and effort estimation approaches that they were using previously in traditional architectures. However, they face unique challenges in developing microservices.Conclusion: Although organizations face challenges, practitioners continue to use familiar techniques that they have been using for traditional architectures. The results provide a snapshot of the software industry that utilizes microservices.