WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7150
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Article Citation - WoS: 1Citation - Scopus: 1Automating Software Size Measurement With Language Models: Insights From Industrial Case Studies(Elsevier Science Inc, 2026) Unlu, Huseyin; Tenekeci, Samet; Kennouche, Dhia Eddine; Demirors, OnurObjective 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.Conference Object Citation - WoS: 2Exploration of a Practical Approach for Assessing the Measurement Capability of Software Organizations(Springer Verlag, 2017) Salmanoğlu, Murat; Demirörs, Onur; Coşkunçay, Ahmet; Yıldız, AliMeasurement is the foundation for successful software management. However, it is not easy for software organizations to evaluate their measurement practices and to determine what they should do to improve them. There are models to evaluate capability and maturity of measurement processes. However, they frequently focus on the measurement process in relation with a well-defined capability model like CMMI or SPICE. Organizations following recent agile methodologies do not desire to apply these holistic models. We have developed a model to assess measurement capability of software organizations by inspecting individual measures, independent from software development approach and process architecture. The model includes sample of core measures for aspects and defines generic practices for three capability levels. Organizations can use the model to determine and improve their measurement capability. In the paper, an exploratory case study conducted in a large telecommunication company is discussed and the results are evaluated.