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Conference Object Citation - Scopus: 4Software engineering issues in big data application development(Institute of Electrical and Electronics Engineers Inc., 2017) Karakaya,Z.Big Data has become one of the most important concepts that is being studied in Computer/Software Engineering. The data produced in recent years have increased rapidly and exponentially, necessitating the solution of major problems such as the collection, processing and storage of huge volume of data. Big Data Frameworks are developed specifically to solve these problems that facilitates application developers by providing opportunities to collect, process, manage, monitor and analyze these data. A few examples of these frameworks are Hadoop, Spark, Storm, and Flink, which are developed by Software Engineers as open source projects. Although the challenges raised from coordination of IT resources such as huge amounts of computation power, storage area, memory, and network bandwidth in a distributed manner solved by these frameworks, there still remains many Software Engineering problems in application development phase, even if they based on these frameworks. High scalability, fault tolerance, flexibility, reliability and testability can be listed as the main issues need to be carefully considered in terms of Software Engineering. In this paper, we first clarify the terms Framework-Application, and then the overview information about Big Data and related frameworks are given before emphasizing the problems arising in terms of Software Engineering. Nevertheless, we tried to provide guidance to the people who would develop software for Big Data and tried to give the further research guidance. © 2017 IEEE.Conference Object Citation - Scopus: 4Need for a Software Development Methodology for Research-Based Software Projects(Institute of Electrical and Electronics Engineers Inc., 2018) Cereci,I.; Karakaya,Z.Software development is mostly carried by a group of individuals. Software development methodologies are heavily utilized to organize these individuals and keep track of the entire software development process. Although previously proposed software development methodologies meet the needs of the industry and the firms, they are not usually suitable for research-based software projects that are carried by universities and individual researchers. In this paper, we aim to show the necessity of a new software development methodology for research-based problems carried by universities. The literature review will show the differences between industry and university software projects from certain aspects. These findings will be supported by the authors own research on the area. This qualitative research involves collecting data through interviews and applying Grounded Theory to better understand the development process. © 2018 IEEE.Conference Object Informatics Engineering Education in Turkey and Expectations of Software Industry(Ieee, 2018) Yazici, Ali; Mishra, Alok; Karakaya, Ziya; Ustunkok, TolgaIn this study, using the OSYM data, the number of intakes in Informatics Engineering programs in Turkey, accreditation data and the medium of instruction of the program are summarized for the years 2016 and 2017. In addition, the software sector's expectations from the informatics engineering graduates are reassessed based on the academic studies. The developed knowledge-skill gap set was used to evaluate the situation in Turkish informatics engineering programs. Sector expectations are discussed in the context of 2017-2019 Turkey Software Sector Strategy and Action Plan prepared by the Ministry of Science, Industry and Technology of Turkey and some proposals are made for the academia. As a result, it was observed that the expectations of the software industry were similar in all studies. Additionally, the expectations were changed in the direction of developing technologies and this change should be reflected in the informatics engineering programs.Conference Object Citation - WoS: 2Need for a Software Development Methodology for Research-Based Software Projects(Ieee, 2018) Cereci, Ibrahim; Karakaya, ZiyaSoftware development is mostly carried by a group of individuals. Software development methodologies are heavily utilized to organize these individuals and keep track of the entire software development process. Although previously proposed software development methodologies meet the needs of the industry and the firms, they are not usually suitable for research-based software projects that are carried by universities and individual researchers. In this paper, we aim to show the necessity of a new software development methodology for research-based problems carried by universities. The literature review will show the differences between industry and university software projects from certain aspects. These findings will be supported by the authors own research on the area. This qualitative research involves collecting data through interviews and applying Grounded Theory to better understand the development process.Conference Object Citation - WoS: 1Use Cases and Object Modelling Using Argouml(Springer-verlag Berlin, 2011) Complak, Wojciech; Wojciechowski, Adam; Mishra, Alok; Mishra, DeeptiThe key factor in the process of good quality software development is using proper techniques for requirements elicitation, representation and modelling providing foundations to build a logical model of the projected system. One of the most popular functional requirements description methods is use cases and scenarios approach introduced by Jacobson in 1993. Use case diagrams and analysis of functionality necessary for future users of the system allows precise definition of object model of target software system. However there are few fully functional free CASE tools supporting system designer at this software development stage. The article describes process of creating guidelines and formal requirements for design of a software system supporting storage and analysis of data concerning regulatory duties of Polish Telecom (Polish name: Telekomunikacja Polska) in the range of RIO framework agreement regarding collocation with the free UML modelling ArgoUML tool.Conference Object Informatics Engineering Education in Turkey and Expectations of Software Industry;(Institute of Electrical and Electronics Engineers Inc., 2018) Yazici,A.; Mishra,A.; Karakaya,Z.; Ustunkok,T.In this study, using the ÖSYM data, the number of intakes in Informatics Engineering programs in Turkey, accreditation data and the medium of instruction of the program are summarized for the years 2016 and 2017. In addition, the software sector's expectations from the informatics engineering graduates are reassessed based on the academic studies. The developed knowledge-skill gap set was used to evaluate the situation in Turkish informatics engineering programs. Sector expectations are discussed in the context of 2017-2019 Turkey Software Sector Strategy and Action Plan prepared by the Ministry of Science, Industry and Technology of Turkey and some proposals are made for the academia. As a result, it was observed that the expectations of the software industry were similar in all studies. Additionally, the expectations were changed in the direction of developing technologies and this change should be reflected in the informatics engineering programs. © 2018 IEEE.Conference Object Need for a Software Development Methodology for Research-Based Software Projects(Institute of Electrical and Electronics Engineers Inc., 2018) Cereci,I.; Karakaya,Z.Software development is mostly carried by a group of individuals. Software development methodologies are heavily utilized to organize these individuals and keep track of the entire software development process. Although previously proposed software development methodologies meet the needs of the industry and the firms, they are not usually suitable for research-based software projects that are carried by universities and individual researchers. In this paper, we aim to show the necessity of a new software development methodology for research-based problems carried by universities. The literature review will show the differences between industry and university software projects from certain aspects. These findings will be supported by the authors own research on the area. This qualitative research involves collecting data through interviews and applying Grounded Theory to better understand the development process. © 2018 IEEE.Conference Object Citation - WoS: 3Software Engineering Issues in Big Data Application Development(Ieee, 2017) Karakaya, ZiyaBig Data has become one of the most important concepts that is being studied in Computer/Software Engineering. The data produced in recent years have increased rapidly and exponentially, necessitating the solution of major problems such as the collection, processing and storage of huge volume of data. Big Data Frameworks are developed specifically to solve these problems that facilitates application developers by providing opportunities to collect, process, manage, monitor and analyze these data. A few examples of these frameworks are Hadoop, Spark, Storm, and Flink, which are developed by Software Engineers as open source projects. Although the challenges raised from coordination of IT resources such as huge amounts of computation power, storage area, memory, and network bandwidth in a distributed manner solved by these frameworks, there still remains many Software Engineering problems in application development phase, even if they based on these frameworks. High scalability, fault tolerance, flexibility, reliability and testability can be listed as the main issues need to be carefully considered in terms of Software Engineering. In this paper, we first clarify the terms Framework-Application, and then the overview information about Big Data and related frameworks are given before emphasizing the problems arising in terms of Software Engineering. Nevertheless, we tried to provide guidance to the people who would develop software for Big Data and tried to give the further research guidance.Conference Object Citation - Scopus: 2Use Cases and Object Modelling Using Argouml(Springer-Verlag Berlin, 2011) Complak,W.; Wojciechowski,A.; Mishra,A.; Mishra,D.The key factor in the process of good quality software development is using proper techniques for requirements elicitation, representation and modelling providing foundations to build a logical model of the projected system. One of the most popular functional requirements description methods is use cases and scenarios approach introduced by Jacobson in 1993. Use case diagrams and analysis of functionality necessary for future users of the system allows precise definition of object model of target software system. However there are few fully functional free CASE tools supporting system designer at this software development stage. The article describes process of creating guidelines and formal requirements for design of a software system supporting storage and analysis of data concerning regulatory duties of Polish Telecom (Polish name: Telekomunikacja Polska) in the range of RIO framework agreement regarding collocation with the free UML modelling ArgoUML tool. © 2011 Springer-Verlag.Conference Object Citation - WoS: 3Citation - Scopus: 5Predicting Software Functional Size Using Natural Language Processing: an Exploratory Case Study(IEEE, 2024) Unlu, Huseyin; Tenekeci, Samet; Ciftci, Can; Oral, Ibrahim Baran; Atalay, Tunahan; Hacaloglu, Tuna; Demirors, OnurSoftware Size Measurement (SSM) plays an essential role in software project management as it enables the acquisition of software size, which is the primary input for development effort and schedule estimation. However, many small and medium-sized companies cannot perform objective SSM and Software Effort Estimation (SEE) due to the lack of resources and an expert workforce. This results in inadequate estimates and projects exceeding the planned time and budget. Therefore, organizations need to perform objective SSM and SEE using minimal resources without an expert workforce. In this research, we conducted an exploratory case study to predict the functional size of software project requirements using state-of-the-art large language models (LLMs). For this aim, we fine-tuned BERT and BERT_SE with a set of user stories and their respective functional size in COSMIC Function Points (CFP). We gathered the user stories included in different project requirement documents. In total size prediction, we achieved 72.8% accuracy with BERT and 74.4% accuracy with BERT_SE. In data movement-based size prediction, we achieved 87.5% average accuracy with BERT and 88.1% average accuracy with BERT_SE. Although we use relatively small datasets in model training, these results are promising and hold significant value as they demonstrate the practical utility of language models in SSM.
