activity
20202026
most citedAdoption of ICT innovations in the agriculture sector in Africa: A Systematic Literature Review

10 citations · 22 across the 9 of their papers we have counts for

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Showing cs.SEShow all

9 papers · 1 filter

cs.SE2025

Evidence-Driven Decision Support for AI Model Selection in Research Software Engineering

Alireza Joonbakhsh, Alireza Rostami, AmirMohammad Kamalinia +4

The rapid proliferation of artificial intelligence (AI) models and methods presents growing challenges for research software engineers and researchers who must select, integrate, a…

cs.SE2025

Empirical Evaluation of AI-Assisted Software Package Selection: A Knowledge Graph Approach

Siamak Farshidi, Amir Saberhabibi, Behbod Eskafi +5

Selecting third-party software packages in open-source ecosystems like Python is challenging due to the large number of alternatives and limited transparent evidence for comparison…

cs.SE20244 cited

A Tool for Automated Reasoning About Traces Based on Configurable Formal Semantics

Ferhat Erata, Arda Goknil, Bedir Tekinerdogan +1

We present Tarski, a tool for specifying configurable trace semantics to facilitate automated reasoning about traces. Software development projects require that various types of tr…

cs.SE20244 cited

AlloyInEcore: Embedding of First-Order Relational Logic into Meta-Object Facility for Automated Model Reasoning

Ferhat Erata, Arda Goknil, Ivan Kurtev +1

We present AlloyInEcore, a tool for specifying metamodels with their static semantics to facilitate automated, formal reasoning on models. Software development projects require tha…

cs.SE2024

ModelWriter: Text & Model-Synchronized Document Engineering Platform

Ferhat Erata, Claire Gardent, Bikash Gyawali +5

The ModelWriter platform provides a generic framework for automated traceability analysis. In this paper, we demonstrate how this framework can be used to trace the consistency and…

cs.SE20222 cited

On the Use of Deep Learning in Software Defect Prediction

Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal +2

Context: Automated software defect prediction (SDP) methods are increasingly applied, often with the use of machine learning (ML) techniques. Yet, the existing ML-based approaches…