126 citations · 459 across the 33 of their papers we have counts for
34 papers
Characterizing Feedback Statements in Machine Learning Jupyter Notebooks
Arumoy Shome, Lu\is Cruz, Diomidis Spinellis +1
Machine learning development in Jupyter notebooks is iterative and feedback-driven. Practitioners author statements that reveal information about program execution and use it to de…
"It Comes in Notebooks": Changes and Challenges when Operationalizing ML Prototypes
Arumoy Shome, Luís Cruz, Diomidis Spinellis +1
Machine learning practitioners commonly prototype models in computational notebooks before transitioning them to automated production systems. Despite its prevalence, the concrete…
Citation Cliques in Low Impact Journals
Panagiotis-Alexios Spanakis, Grigorios Alexandrou, Diomidis Spinellis
This exploratory study examines how low-impact journals, defined through subject-normalized Eigenfactor percentiles, are associated with denser and more reciprocating patterns of a…
Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
Dimitris Mitropoulos, Nikolaos Alexopoulos, Georgios Alexopoulos +1
Automated Code Review (ACR) systems integrating Large Language Models (LLMs) are increasingly adopted in software development workflows, ranging from interactive assistants to auto…
Learning from Change: Predictive Models for Incident Prevention in a Regulated IT Environment
Eileen Kapel, Jan Lennartz, Luis Cruz +2
Effective IT change management is important for businesses that depend on software and services, particularly in highly regulated sectors such as finance, where operational reliabi…
An Empirical Comparison of Security and Privacy Characteristics of Android Messaging Apps
Ioannis Karyotakis, Foivos Timotheos Proestakis, Evangelos Talos +2
Mobile messaging apps are a fundamental communication infrastructure, used by billions of people every day to share information, including sensitive data. Security and Privacy are…
Awakening: Modern Challenges and Opportunities of Software Engineering Research
Diomidis Spinellis, Zoe Kotti
Software engineering research benefited for decades from openly available tools, accessible systems, and problems that could be studied at modest scale. Today, many of the most rel…
Bridging Behavioral Biometrics and Source Code Stylometry: A Survey of Programmer Attribution
Marek Horvath, Emilia Pietrikova, Diomidis Spinellis
Programmer attribution seeks to identify or verify the author of a source code artifact using stylistic, structural, or behavioural characteristics. This problem has been studied a…
Source Code Hotspots: A Diagnostic Method for Quality Issues
Saleha Muzammil, Mughees Ur Rehman, Zoe Kotti +1
Software source code often harbours "hotspots": small portions of the code that change far more often than the rest of the project and thus concentrate maintenance activity. We min…
The Fools are Certain; the Wise are Doubtful: Exploring LLM Confidence in Code Completion
Zoe Kotti, Konstantina Dritsa, Diomidis Spinellis +1
Code completion entails the task of providing missing tokens given a surrounding context. It can boost developer productivity and serve as a code discovery tool. Code completion ha…
Code Review Comprehension: Reviewing Strategies Seen Through Code Comprehension Theories
Pavlína Wurzel Gonçalves, Pooja Rani, Margaret-Anne Storey +2
Despite the popularity and importance of modern code review, the understanding of the cognitive processes that enable reviewers to analyze code and provide meaningful feedback is l…
Broken Windows: Exploring the Applicability of a Controversial Theory on Code Quality
Diomidis Spinellis, Panos Louridas, Maria Kechagia +1
Is the quality of existing code correlated with the quality of subsequent changes? According to the (controversial) broken windows theory, which inspired this study, disorder sets…
Understanding Feedback Mechanisms in Machine Learning Jupyter Notebooks
Arumoy Shome, Luis Cruz, Diomidis Spinellis +1
The machine learning development lifecycle is characterized by iterative and exploratory processes that rely on feedback mechanisms to ensure data and model integrity. Despite the…
Quieting the Static: A Study of Static Analysis Alert Suppressions
Georgios Liargkovas, Evangelia Panourgia, Diomidis Spinellis
Static analysis tools are commonly used to detect defects before the code is released. Previous research has focused on their overall effectiveness and their ability to detect defe…
Good Tools are Half the Work: Tool Usage in Deep Learning Projects
Evangelia Panourgia, Theodoros Plessas, Ilias Balampanis +1
The rising popularity of deep learning (DL) methods and techniques has invigorated interest in the topic of SE4DL (Software Engineering for Deep Learning), the application of softw…
Commands as AI Conversations
Diomidis Spinellis
Developers and data scientists often struggle to write command-line inputs, even though graphical interfaces or tools like ChatGPT can assist. The solution? "ai-cli," an open-sourc…
Open Reproducible Publication Research
Diomidis Spinellis
Considerable scientific work involves locating, analyzing, systematizing, and synthesizing other publications. Its results end up in a paper's "background" section or in standalone…
Machine Learning for Software Engineering: A Tertiary Study
Zoe Kotti, Rafaila Galanopoulou, Diomidis Spinellis
Machine learning (ML) techniques increase the effectiveness of software engineering (SE) lifecycle activities. We systematically collected, quality-assessed, summarized, and catego…
Impact of Software Engineering Research in Practice: A Patent and Author Survey Analysis
Zoe Kotti, Georgios Gousios, Diomidis Spinellis
Existing work on the practical impact of software engineering (SE) research examines industrial relevance rather than adoption of study results, hence the question of how results h…
Software Engineering Education Knowledge Versus Industrial Needs
Georgios Liargkovas, Angeliki Papadopoulou, Zoe Kotti +1
Contribution: Determine and analyze the gap between software practitioners' education outlined in the 2014IEEE/ACM Software Engineering Education Knowledge (SEEK) and industrial ne…
Standing on Shoulders or Feet? An Extended Study on the Usage of the MSR Data Papers
Zoe Kotti, Konstantinos Kravvaritis, Konstantina Dritsa +1
Context: The establishment of the Mining Software Repositories (MSR) data showcase conference track has encouraged researchers to provide data sets as a basis for further empirical…
PyCG: Practical Call Graph Generation in Python
Vitalis Salis, Thodoris Sotiropoulos, Panos Louridas +2
Call graphs play an important role in different contexts, such as profiling and vulnerability propagation analysis. Generating call graphs in an efficient manner can be a challengi…
Do We Need Improved Code Quality Metrics?
Tushar Sharma, Diomidis Spinellis
The software development community has been using code quality metrics for the last five decades. Despite their wide adoption, code quality metrics have attracted a fair share of c…
The Software Heritage Graph Dataset: Large-scale Analysis of Public Software Development History
Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli
Software Heritage is the largest existing public archive of software source code and accompanying development history. It spans more than five billion unique source code files and…