Mehmet Suleyman ÜnlütürkKaan Kurtel2025-10-06201513359150, 25858807https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953284724&partnerID=40&md5=3761ada2d6113f85e8915245d6714ff0https://gcris.yasar.edu.tr/handle/123456789/9950Software measurement is a crucial part of a good software engineering. Software developers quantify the software to see if the use cases are complete if the analysis model is consistent with requirements and if the code is ready to be tested. Software project managers assess the software process and the software product to determine if it is going to be finished on time and within budget. Customers evaluate the final product if it meets their needs. Overall the main purpose of software engineering is to make software systems controllable and foreseeable activities with a solid method rather than intuitional complicated or unprincipled. Software measurement studies are about quantifying the software engineering entities and attributes both of which aim to support software development efforts and quality improvement. In this paper we quantify a set of relationships using the current size defect and object-oriented software metrics practically and pragmatically. Our paper proposes a method to measure the productivity of individual software programmers. Furthermore this method provides a common opinion for understanding controlling and improving the software engineering practices. © 2022 Elsevier B.V. All rights reserved.EnglishPersonal Software Process, Programmer Productivity Quantification, Software Measurement, Budget Control, Productivity, Software Design, Software Testing, Object-oriented Software Metrics, Personal Software Process, Programmer Productivity, Quality Improvement, Software Developer, Software Development Effort, Software Engineering Practices, Software Measurement, Object Oriented ProgrammingBudget control, Productivity, Software design, Software testing, Object-oriented software metrics, Personal Software Process, Programmer productivity, Quality improvement, Software developer, Software development effort, Software engineering practices, Software Measurement, Object oriented programmingArticle