8 results
Search Results
Now showing 1 - 8 of 8
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.Article Citation - WoS: 9Citation - Scopus: 11Industry Oriented Advanced Software Engineering Education Curriculum(Fac Teacher Education, 2012) Mishra, Alok; Mishra, Deepti; Computer Engineering; Software EngineeringSoftware engineering is the fastest-evolving engineering discipline and most of the tasks of software development organizations are diverse in nature. Various studies have shown that there is a wide gap between software industry needs and education for prospective software engineers. It is the responsibility of Software engineering education to prepare SE professionals by providing them with the skills to meet the expectations of the software industry. SE curriculum should correspond to the industry needs, and only then can Universities produce highly skilled professionals, who can meet the needs of software industry. During the last decade, software engineering education (SEE) has been emerging as an independent and mature discipline. Accordingly, various studies are being conducted to provide guidelines for SEE curriculum design. This paper summarizes the need for software industry related courses and discusses the significance of industry oriented software engineering education to meet the educational objectives of all stakeholders. The software industry oriented curriculum for undergraduate and graduate levels is discussed. An industry oriented graduate level (master's level) software engineering course which includes foundational and applied courses to provide effective training for future software engineers is also proposed. This will lead to an increase in their employment prospects in the industrial and allied sectors.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 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.Article Citation - WoS: 9Citation - Scopus: 17An Assessment of the Software Engineering Curriculum in Turkish Universities: Ieee/Acm Guidelines Perspective(Fac Teacher Education, 2011) Mishra, Alok; Yazici, Ali; Software EngineeringSoftware engineering (SE) education has been emerging as an independent and mature discipline. Accordingly, various studies are being done to provide guidelines for SE education curriculum design. This paper presents software engineering education evolvement in Turkey, present SE education scenario in different universities along with the significance of software technology parks in relevance to software engineering education. The objective of this paper is to provide an assessment of SE curriculum in Turkish Universities with respect to IEEE/ACM guidelines given in SEEK (2004). This study will provide a guideline to universities conducting an SE programme at undergraduate level to align their course curriculum with IEEE/ACM guidelines (SEEK, 2004).Conference Object Citation - Scopus: 2Use Cases and Object Modelling Using Argouml(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.
