Demirörs, Onur
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Demirors, Onur
Demirörs, O.
Demirörs, O
Demirors,O.
Demirors, O.
Demirors, O
Demirörs, O.
Demirörs, O
Demirors,O.
Demirors, O.
Demirors, O
Job Title
Email Address
onurdemirors@iyte.edu.tr
Main Affiliation
03.04. Department of Computer Engineering
Status
Current Staff
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WoS Researcher ID
Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
Research Products
3GOOD HEALTH AND WELL-BEING
0
Research Products
4QUALITY EDUCATION
7
Research Products
5GENDER EQUALITY
0
Research Products
6CLEAN WATER AND SANITATION
0
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7AFFORDABLE AND CLEAN ENERGY
0
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8DECENT WORK AND ECONOMIC GROWTH
4
Research Products
9INDUSTRY, INNOVATION AND INFRASTRUCTURE
28
Research Products
10REDUCED INEQUALITIES
0
Research Products
11SUSTAINABLE CITIES AND COMMUNITIES
0
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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13CLIMATE ACTION
0
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14LIFE BELOW WATER
0
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15LIFE ON LAND
0
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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17PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents
220
Citations
1995
h-index
22
Documents
125
Citations
1063
Scholarly Output
72
Articles
25
Views / Downloads
60241/25797
Supervised MSc Theses
5
Supervised PhD Theses
2
WoS Citation Count
444
Scopus Citation Count
743
Patents
0
Projects
1
WoS Citations per Publication
6.17
Scopus Citations per Publication
10.32
Open Access Source
44
Supervised Theses
7
| Journal | Count |
|---|---|
| International Conference on Software Process Improvement and Capability Determination, SPICE 2018 | 4 |
| CEUR Workshop Proceedings -- Joint of the 33rd International Workshop on Software Measurement and the 18th International Conference on Software Process and Product Measurement, IWSM-MENSURA 2024 -- 30 September 2024 through 4 October 2024 -- Montreal -- 204467.0 | 3 |
| CEUR Workshop Proceedings | 3 |
| Information and Software Technology | 3 |
| Journal of Systems and Software | 2 |
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Article Citation - WoS: 7Citation - Scopus: 12A Survey on Organizational Choices for Microservice-Based Software Architectures(TÜBİTAK, 2022) Ünlü, Hüseyin; Bilgin, Burak; Demirörs, OnurDuring the last decade, the demand for more flexible, responsive, and reliable software applications increased exponentially. The availability of internet infrastructure and new software technologies to respond to this demand led to a new generation of applications. As a result, cloud-based, distributed, independently deployable web applications working together in a microservice-based software architecture style have gained popularity. The style has been a common practice in the industry and successfully utilized by companies. Adopting this style demands software organizations to transform their culture. However, there is a lack of research studies that explores common practices for microservices. Thus, we performed a survey to explore the organizational choices on software analysis, design, size measurement, and effort estimation when working with microservices. The results provide a snapshot of the software industry that utilizes microservices. We provide insight for software organizations to transform their culture and suggest challenges researchers can focus on in the area.Master Thesis A Mutation-Based Approach To Alleviate the Class Imbalance Problem in Software Defect Prediction(01. Izmir Institute of Technology, 2023) Güner, Dinçer; Demirörs, Onur; Demirörs, Onur; Giray, GörkemHighly imbalanced training datasets considerably degrade the performance of software defect predictors. Software Defect Prediction (SDP) datasets have a general problem, which is class imbalance. Therefore, a variety of methods have been developed to alleviate Class Imbalance Problem (CIP). However, these classical methods, like data-sampling, balance datasets without connecting any relation with SDP. Over-sampling techniques generate synthetic minor class instances, which generalize a small number of minor class instances and result in less diverse instances, whereas under-sampling techniques eliminate major class instances, resulting in significant information loss. In this study, we present an approach that uses software mutations to balance software repositories. Mutation-based Approach (MBA) injects mutants into defect-free instances, causing them to transform into defective instances. In this way, MBA balances datasets with diverse data produced by mutation operators, and there is no loss on instances as in under-sampling. For recall scores, almost all rebalancing methods outperformed Baseline in Inter-release Defect Prediction (IRDP) scenario but only MBA significantly outperformed Baseline in Cross-project Defect Prediction (CPDP) scenario. The performance increase in recall resulted in the production of more false alarms. We can not generalize that MBA outperforms Baseline and the five over-sampling strategies in terms of AUC scores. In terms of recall values, the MBA performed better in CPDP than IRDP. For both IRDP and CPDP scenarios, there were significant and positive correlations between SMC (the change percentage of software measures) and recall, and SMC and false alarm but there was no significant correlation between SMC and AUC.Correction Automating Software Size Measurement From Python Code Using Language Models (Vol 33, 19, 2026)(Springer, 2025) Tenekeci, Samet; Unlu, Huseyin; Gul, Bedir Arda; Keles, Damla; Kucuk, Murat; Demirors, OnurArticle Citation - WoS: 16Citation - Scopus: 26Application of a Software Agility Assessment Model – Agilitymod in the Field(Elsevier Ltd., 2019) Özcan Top, Özden; Demirörs, OnurAdoption of agile values and principles and transformation of organizations towards agility are not easy and straightforward. Misinterpretation of agile principles and values, and adoption of partial solutions with few agile practices instead of holistic approaches prevent organizations to obtain full benefits of agile methods. We developed the Software Agility Assessment Reference Model (AgilityMod) for the appraisal of software projects from agility perspective and to provide guidance on specifying gaps on the road towards agility (agile maturity). The meta-model of AgilityMod was defined in relation with the ISO/IEC 15504-Process Assessment Model. AgilityMod was developed in an iterative and incremental manner by running successive case studies and getting opinions of experts for the evaluation and improvement of the Model. The multiple case study that we present here in detail included the implementation of the Model in eight software development companies. The results of this case study were evaluated by the case study participants. According to the significant majority of the case study participants, AgilityMod achieves its purpose.Conference Object Citation - Scopus: 3Predicting Software Size and Effort From Code Using Natural Language Processing(CEUR-WS, 2024) Tenekeci, S.; Demirörs, Onur; Ünlü, H.; Dikenelli, E.; Selçuk, U.; Kılınç Soylu, G.; Demirörs, O.Software Size Measurement (SSM) holds a crucial role in software project management by facilitating the acquisition of software size, which serves as the primary input for development effort and schedule estimation. However, many small and medium-sized companies encounter challenges in conducting objective SSM and Software Effort Estimation (SEE) due to resource constraints and a lack of expert workforce. This often leads to inaccurate estimates and projects exceeding planned time and budget. Hence, organizations need to perform objective SSM and SEE with minimal resources and without relying on an expert workforce. In this research, we introduce two exploratory case studies aimed at predicting the functional size (COSMIC and Event-based size) and effort of software projects from the code using a deep-learning-based NLP model: CodeBERT. For this purpose, we collected and annotated two datasets consisting of 4800 Python and 1100 C# functions. Then, we trained a classification model to predict COSMIC data movements (entry, exit, read, write) and four regression models to predict Event-based size (interaction, communication, process) and effort. Despite utilizing a relatively small dataset for model training, we achieved promising results with an 84.5% accuracy for the COSMIC size, 0.13 normalized mean absolute error (NMAE) for the Event-based size, and 0.18 NMAE for the effort. These findings are particularly insightful as they demonstrate the practical utility of language models in SSM and SEE. © 2024 Copyright for this paper by its authors.Conference Object Software Change Size Measurement: an Exploratory Systematic Mapping Study(CEUR-WS, 2024) Hacaloglu, T.; Demirörs, Onur; Küçükateş Ömüral, N.; Kılınç Soylu, G.; Demirörs, O.Change in software projects can occur through various channels. Customers may request modifications or new features; appraisal activities such as reviews or testing may uncover issues that necessitate adjustments, or products may need to adapt to changes in their operating environment. Therefore, it is essential to assess these changes explicitly and objectively within the scope of software engineering activities. Specifically, quantifying change by measuring its size is crucial for successful management, as without a meaningful metric, it is impossible to accurately assess its impact on the project's effort, schedule, and cost. This study aims to explore the concept of change in software engineering literature, with a particular emphasis on the methods used to measure its size. The study reveals that the current literature on this topic is still in its early stages and the measurement and estimation of changes remain challenging throughout both development and maintenance phases. According to the reviewed articles, size is primarily used for effort estimation. Various software artifacts from different stages of the Software Development Life Cycle (SDLC) serve as input for change measurement, highlighting the need for a versatile size measurement applicable across all SDLC phases. Most of the reviewed articles interpret change in the context of maintenance activities. This research sets a benchmark for the status of software size measures for software change and highlights related problems to suggest further research topics. © 2024 Copyright for this paper by its authors.Article Citation - WoS: 1Citation - Scopus: 1How Software Practitioners Perceive Work-Related Barriers and Benefits Based on Their Educational Backgrounds: Insights From a Survey Study(IEEE, 2023) Ünlü, Hüseyin; Yürüm, Ozan Raşit; Özcan Top, Özden; Demirörs, OnurSurvey results show that software practitioners from nonsoftware-related backgrounds face more barriers, have fewer benefits, and feel less satisfied in their work life. However, these differences reduce with more than 10 years of experience and involvement in software-related graduate programs, certificates, and mentorship.Conference Object Citation - WoS: 4Citation - Scopus: 9Isbsg Veri Seti Kullanılarak Yazılım Efor Kestirimi: Çoklu Durum Çalışmaları(IEEE, 2021) Ünlü, Hüseyin; Yalçın, Ali Görkem; Öztürk, Dilek; Akkaya, Güliz; Kalecik, Mert; Ekici, Nazım Umut; Orhan, Oğuzhan; Çiftçi, Okan; Yumlu, Selen; Demirörs, OnurEfor kestirimi yazılım projelerinin planlanmasında temel aktivitelerden biridir. Objektif, tekrarlanabilir efor kestirimleri genelde iki ana girdiye ihtiyaç duyar: yazılım büyüklüğü ve efor verisi. Yazılımın büyüklüğü fonksiyonel büyüklük olarak ölçüldüğünde projenin gereksinimlerinin tanımlı olmasından sonra her aşamasında ölçülebilir. Ancak, organizasyonlarda geçmiş projelere ait efor verisine her zaman ulaşmak mümkün olamamaktadır. Bu durumda yeni projeler için geçmiş verilerden yola çıkarak efor kestirim modelleri oluşturmak güç olabilir. Uluslararası Yazılım Kıyaslama Standartları Grubu (International Software Benchmarking Standards Group – ISBSG) veri seti dünya çapında birçok organizasyon tarafından sağlanan yazılım büyüklüğü ve efor bilgisi içeren çok sayıda proje bilgisi içerir. Bu veri seti organizasyonlarda efor kestirimi için kullanılabilir. Bu çalışmada, ISBSG veri setinin sektördeki organizasyonlara ait projelerin efor kestiriminde yararlı olup olmadığını araştırmak amacıyla lisansüstü öğrencileri ile çoklu durum çalışması yapılmıştır. Öğrenciler, çalıştıkları organizasyona ait bir projeyi öncelikle COSMIC İşlevsel Büyüklük Ölçüm yöntemi ile ölçmüş, sonrasında da ISBSG veri setini kullanarak efor kestirim modeli oluşturmuş ve projenin efor tahminini gerçekleştirmiştir. Çalışma sonuçları, efor verisi bulunamayan durumlarda ISBSG kullanarak tutarlı bir efor kestirim modelini oluşturmanın mümkün olduğunu göstermektedir.Conference Object Size Measurement and Effort Estimation in Microservicebased Projects: Results From Pakistan(CEUR-WS, 2023) Soylu, Görkem Kılınç; Ünlü, Hüseyin; Ahmad, Isra Shafique; Demirörs, OnurDuring the last decade, microservice-based software architecture has been a common design paradigm in the industry and has been successfully utilized by organizations. Microservice-based software architecture, specifically in the form of reactive systems, has substantial differences from the more conventional design paradigms, such as the object-oriented paradigm. The architecture moved away from being data-driven and evolved into a behavior-oriented structure. The usage of a single database is replaced by the structures in which each microservice is developed independently and has its own database. Therefore, adaptation demands software organizations to transform their culture. In this study, we aimed to get an insight into how Pakistani software organizations perform size measurement and effort estimation in their software projects which embrace the microservice-based software architecture paradigm. For this purpose, we surveyed 49 Pakistani participants from different agile organizations over different roles and domains to collect information on their experience in microservice-based projects. Our results reveal that although Pakistani organizations face challenges, they continue using familiar subjective size measurement and effort estimation approaches that they have used for traditional architectures. © 2023 Copyright for this paper by its authors.Conference Object Citation - Scopus: 7Challenges of Using Software Size in Agile Software Development: a Systematic Literature Review(CEUR Workshop Proceedings, 2018) Hacaloğlu, Tuna; Demirörs, OnurSoftware size is a fundamental measure for software management. Size is used for a variety of purposes, such as benchmarking, normalization, and portfolio measurement, and it is frequently considered as the sole input of estimation. Estimations can be produced for various reasons; e.g., to predict effort, cost and duration of software development projects. There are different types of software size measures. Particularly in projects where agile methodologies are adopted, measurement becomes a significant challenge as it is perceived as a non-value-added task and records of tasks such as requirements identification are not always consistent. The difficulties of applying traditional size measurement techniques in agile contexts, however, do not diminish the need, and new methods and techniques are introduced to improve the manageability of the agile projects. In this paper, we discuss estimation and measurement approaches in relation with ―software size in agile contexts. Based on this review, we present the perceptions of software size and related challenges, such as misinterpretation of size, difficulties in implementation, and acceptability of the measurement processes. We anticipate that providing a baseline for the state of software size measures in agile contexts and presenting related challenges, particularly in terms of its acceptability by practitioners can shed light on the development of new techniques.