• Internet of Things (IoT) and artificial neural networks towards water pollution forecasting 

      Ibrahim, Thaer; Mishra, Alok (Peer reviewed; Journal article, 2020)
      Water could be some-times a source of danger on people's lives and property. Although it is one of the most important elements of life on this planet. This article define the threat of water pollution in Tigris River in ...
    • IoT platform for seafood farmers and consumers 

      Jæger, Bjørn; Mishra, Alok (Peer reviewed; Journal article, 2020)
      There has been a strong growth in aquatic products supported by the global seafood industry. Consumers demand information transparency to support informed decisions and to verify nutrition, food safety, and sustainable ...
    • Machine learning-based software defect prediction for mobile applications : a systematic literature review 

      Jorayeva, Manzura; Akbulut, Akhan; Catal, Cagatay; Mishra, Alok (Peer reviewed; Journal article, 2022)
      Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be ...
    • A novel approach for code smell detection : an empirical study 

      Dewangan, Seema; Rao, Rajwant Singh; Mishra, Alok; Gupta, Manjari (Peer reviewed; Journal article, 2021)
      Code smells detection helps in improving understandability and maintainability of software while reducing the chances of system failure. In this study, six machine learning algorithms have been applied to predict code ...
    • A novel framework using deep auto-encoders based linear model for data classification 

      Karim, Ahmad; Kaya, Hilal; Güzel, Mehmet Serdar; Tolun, Mehmet; Çelebi, Fatih Vehbi; Mishra, Alok (Peer reviewed; Journal article, 2020)
      This paper proposes a novel data classification framework, combining sparse auto-encoders (SAEs) and a post-processing system consisting of a linear system model relying on Particle Swarm Optimization (PSO) algorithm. All ...
    • Organizational issues in embracing Agile methods : an empirical assessment 

      Mishra, Alok; Abdalhamid, Samia; Mishra, Deepti; Ostrovska, Sofiya (Peer reviewed; Journal article, 2021)
      This study provides empirical evidence to the body of knowledge in Agile methods adoption in small, medium and large organizations in international context. This research explores the factors involved in the adoption of ...
    • A paired learner-based approach for concept drift detection and adaptation in software defect prediction 

      Gangwar, Arvind Kumar; Kumar, Sandeep; Mishra, Alok (Peer reviewed; Journal article, 2021)
      The early and accurate prediction of defects helps in testing software and therefore leads to an overall higher-quality product. Due to drift in software defect data, prediction model performances may degrade over time. ...
    • Proton therapy for mandibula plate phantom 

      Senirkentli, Güler Burcu; Ekinci, Fatih; Bostanci, Erkan; Güzel, Mehmet Serdar; Dağli, Özlem; Karim, Ahmed M.; Mishra, Alok (Peer reviewed; Journal article, 2021)
      Purpose: In this study, the required dose rates for optimal treatment of tumoral tissues when using proton therapy in the treatment of defective tumours seen in mandibles has been calculated. We aimed to protect the ...
    • A rule-based approach to embedding techniques for text document classification 

      Aubaid, Asmaa M.; Mishra, Alok (Peer reviewed; Journal article, 2020)
      With the growth of online information and sudden expansion in the number of electronic documents provided on websites and in electronic libraries, there is difficulty in categorizing text documents. Therefore, a rule-based ...
    • Sentimental analysis of Twitter users from Turkish content with natural language processing 

      Balli, Cagla; Guzel, Mehmet Serdar; Bostanci, Erkan; Mishra, Alok (Journal article, 2022)
      Artificial Intelligence has guided technological progress in recent years; it has shown significant development with increased academic studies on Machine Learning and the high demand for this field in the sector. In ...
    • Software product quality metrics : a systematic mapping study 

      Colakoglu, Fatima Nur; Yazici, Ali; Mishra, Alok (Peer reviewed; Journal article, 2021)
      In the current competitive world, producing quality products has become a prominent factor to succeed in business. In this respect, defining and following the software product quality metrics (SPQM) to detect the current ...
    • Stress detection using experience sampling : a systematic mapping study 

      Dogan, Gulin; Akbulut, Fatma Patlar; Catal, Cagatay; Mishra, Alok (Peer reviewed; Journal article, 2022)
      Stress has been designated the “Health Epidemic of the 21st Century” by the World Health Organization and negatively affects the quality of individuals’ lives by detracting most body systems. In today’s world, different ...
    • Sustainable software engineering education curricula development 

      Mishra, Alok; Mishra, Deepti (Peer reviewed; Journal article, 2020)
      Climate change risk and environmental degradation are the most critical issues of our society. Our technology influenced daily life style involves many software and apps which are used by large society and their use is ...
    • A systematic review of the purposes of Blockchain and fog computing integration : classification and open issues 

      Alzoubi, Yehia Ibrahim; Gill, Asif Qumer; Mishra, Alok (Peer reviewed; Journal article, 2022)
      The fog computing concept was proposed to help cloud computing for the data processing of Internet of Things (IoT) applications. However, fog computing faces several challenges such as security, privacy, and storage. One ...
    • Techniques for calculating software product metrics threshold values : a systematic mapping study 

      Mishra, Alok; Shatnawi, Raed; Catal, Cagatay; Akbulut, Akhan (Peer reviewed; Journal article, 2021)
      Several aspects of software product quality can be assessed and measured using product metrics. Without software metric threshold values, it is difficult to evaluate different aspects of quality. To this end, the interest ...