Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Review Citation - WoS: 9Citation - Scopus: 12Readiness and Maturity Models for Industry 4.0: a Systematic Literature Review(John Wiley and Sons Ltd, 2023) Ünlü, H.; Demirörs, O.; Garousi, V.Industry 4.0 changes traditional manufacturing relationships from isolated optimized cells to fully integrated data and product flows across borders with its technological pillars. However, the transition to Industry 4.0 is not a straightforward journey in which organizations need assistance. A well-known approach that can be utilized during the early phases of the transition is to assess the capability of the organization. Maturity models are frequently used to improve capability. In this systematic literature review (SLR), we analyzed 22 maturity and readiness models based on 10 criteria: year, type, focus, structure, research methodology followed during the design of models, base frameworks, tool support, community support, objectivity, and extent of usage in practice. Our SLR provides a well-defined comparison for organizations to choose and apply available models. This SLR showed that (1) there is no widely accepted maturity/readiness model for Industry 4.0, as well as no international standard; (2) only a few models have received positive feedback from the industry, whereas most do not provide any practical usage information; and (3) the objectivity of the assessment method is controversial in most of the models. We have also identified a number of issues as open research areas for assessing readiness and maturity models for Industry 4.0. © 2023 John Wiley & Sons, Ltd.Conference Object Software Product Line Testing Based on Event Sequence Graphs With Feature Expressions(Institute of Electrical and Electronics Engineers Inc., 2023) Kaya, D.O.; Tuglular, T.; Belli, F.Software Product Line testing is by its nature challenging, especially due to the exponential rise in the number of assets that need to be verified. Scalability and efficient verification, two challenges that model-based SPL testing must deal with, are discussed in this paper. An approach to automatically obtaining test suites for software product lines is proposed as a solution to these challenges. By exploiting Event Sequence Graphs with Feature Expressions, which concisely depict the Software Product Line behavior, the proposed approach automatically generates test sequences for different product configurations. The presented approach is applied to the illustrative case studies from the literature. © 2023 IEEE.Article 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: 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.Conference Object Citation - Scopus: 1Measuring Change in Software Projects Through an Earned Value Lens(Springer Verlag, 2018) Efe, Pınar; Demirörs, Onur; Benetallah, BoualemEarned Value Management (EVM) is a common performance management tool for project management. EVM enables depicting the project progress in terms of scope, cost and schedule and provides future predictions based on trends and patterns. Even though EVM is widely used in various disciplines like manufacturing and construction, it is not common in software industry. One reason for this underutilization is the mismatch of an inherent nature of the software projects and the traditional EVM. Traditional EVM ignores change effort but it is predominant in software projects. We have developed cEVM as an extension to the traditional EVM to incorporate change and subsequent rework and evolution costs to measure earned value in software development projects more accurately. In this study, we focus on two applications of cEVM we performed to explore the usability of cEVM and to compare cEVM with traditional EVM. This paper discusses the results of the case studies as well as benefits and difficulties of cEVM.Conference Object Citation - Scopus: 41Effort Estimation for Agile Software Development: Comparative Case Studies Using Cosmic Functional Size Measurement and Story Points(Association for Computing Machinery (ACM), 2017) Salmanoğlu, Murat; Hacaloğlu, Tuna; Demirörs, OnurAgile methodologies have gained significant popularity among software development organizations during the last decade. Although agile methodologies are regarded as minimizing formal processes, they still utilize an estimation methodology for proper management. Story point is the most common input for agile effort estimation. Story point is an arbitrary measure; it reflects experiences of project participants. On the other hand, functional size is an alternative measure used in practice as an input for effort estimation. In this research, we collect and present the outcomes of three case studies which compared the effectiveness of COSMIC-based and story point based effort estimation in agile context. On selected projects of these organizations, software functional size was measured with COSMIC functional size measurement methodology. Effort prediction models were formed by using COSMIC size and actual effort spent; and the models were tested in terms of their effectiveness. The results show controversial outcomes. For all the cases, COSMIC based estimation was more precise. Therefore, COSMIC is an appropriate measure to estimate the effort in organizations that adopt agile software development. It is also observed that COSMIC allowed for computing productivity which has less disperse distribution than the productivity computed with SP. The data is also provided to help other researchers conduct their own studies.Conference Object Citation - WoS: 5Citation - Scopus: 10An Exploratory Study on Usage of Process Mining in Agile Software Development(Springer Verlag, 2017) Erdem, Sezen; Demirörs, OnurAgile software development methods have become popular in the software development field during the last decade. Majority of software organizations develop or claim to develop software based on agile methods. Process mining is a process management technique that allows for the analysis of business processes based on the event logs. The aim of process mining is to discover, monitor and improve real processes, but not assumed processes, by extracting knowledge from event logs readily available in information systems. Process mining can be used to discover agile processes followed in organizations/projects to determine the actual processes followed. Process mining can also establish the necessary evidences for assessing or measuring the agility of organizations. This study explores the usability of process mining methods in agile software development context. The results of an exploratory case study on using process mining techniques in a software project managed by Scrum are depicted. We also discuss the benefits of the process mining techniques used and compare different tools utilized.