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- Derleme MakaleYalnız künye2026A systematic and evolutionary analysis of software design pattern detection and recommendation approaches (2015–2025)
Turk, Salih; Coskuncay, Ahmet
Context: Automated detection and recommendation of software design patterns is crucial for software maintenance, reverse engineering, and architectural quality. Despite decades of research, the field has undergone a significant transformation with the emergence of deep learning and large language models (LLMs), leading to a fragmented landscape of methodologies and evaluation settings. Objective: This study aims to provide a systematic and evolutionary synthesis of design pattern detection and recommendation approaches published between 2015 and 2025, categorizing them into distinct technological paradigms and identifying open research challenges. Method: Following Kitchenham’s evidence-based software engineering guidelines and PRISMA principles, a systematic literature review was conducted. We executed a structured search on the Web of Science database, identifying 212 initial records. After rigorous multi-stage screening and quality assessment, 66 primary studies were selected for final synthesis and analysis. Results: The evolution of the field is characterized through six distinct paradigms: Rule-Based, Graph-Based, Feature-Driven Machine Learning, Representation Learning (Deep Learning), Hybrid, and Contextual Intelligence (LLM). Findings reveal a clear methodological shift from structural exactness to semantic and contextual understanding. However, the analysis also identifies a high concentration on specific datasets (JHotDraw and P-MARt) and a lack of standardized benchmarks for variant detection and multi-modal analysis. Conclusions: While LLM-based approaches show promise in handling pattern variants and semantic context, the field requires more diverse benchmarks and explainable models. This review provides a comprehensive research roadmap, emphasizing the need for multi-modal frameworks and industry-scale validation to bridge the gap between academic research and practical software engineering.
- Derleme MakaleYalnız künye2024Authentic Leadership: A Systematic Review and Research Agenda
Polat, Eray; Arici, Hasan Evrim; Arasli, Huseyin
There has been a growing interest in authentic leadership as a distinctive style of leadership and a dynamic research topic. In this direction, the aim of this study is multifaceted. First, we focus on providing a comprehensive overview of research on authentic leadership (AL), which has attracted substantial research interest in the last few years. Second, we outline the theoretical and nomological network of AL, highlighting antecedents, outcomes, moderators, and mediators. Third, we offer an elaborated future research agenda to enable advances in theory and empirics. We systematically reviewed 182 articles issued in the business management and psychology literature between 2005 and 2021. Interest in AL is growing, and 2020 is the golden year. Developed countries dominate the field. After a rigorous review, we offer a future research agenda with four key themes. The study highlights that AL is critical to the emergence and growth of valuable behaviours, attitudes, and performance at individual, team, and organisational levels. The study provides new research ideas and further conceptualization of AL. We also provide a comprehensive review of why managers should continue to practice AL, where the literature has been, and where it may be headed in the future.
- MakaleYalnız künye2023Unpacking the power of user-generated videos in hospitality and tourism: a systematic literature review and future direction
Polat, Eray; Çelik, Fatih; Ibrahim, Blend; Köseoglu, Mehmet Ali
We review user-generated video (UGV)-research in hospitality and tourism (H&T), provide an overview of its current-state, and suggest ways forward. We adopted a systematic literature review methodology and reviewed 66 articles with TCM (theory/context/methodology) framework. UGV-research focuses on (i) destination image perception, (ii) short-form videos and travel live-streaming, (iii) behavioral intentions, and (iv) crisis management. Theoretical development is diverse, given the descriptive nature of research questions, but it is still in its infancy. The context varies by H&T setting, type of social media platform, population, and country. Research methods and techniques range from traditional analysis to advanced machine learning or artificial intelligence-based quantitative approaches, predominantly qualitative methods.