Z. Marian

发表

A STUDY ON ASSOCIATION RULE MINING BASED SOFTWARE DESIGN DEFECT DETECTION

Z. Marian, 2013 .

DISTORTION-BASED MEDIA-FRIENDLY CONGESTION CONTROL

Z. Marian, Adrian Sterca, A. Vancea, 2009 .

An aggregated coupling measure for the analysis of object-oriented software systems

Zsuzsanna Marian, Gabriela Serban Czibula, Diana-Lucia Miholca, 2019, J. Syst. Softw..

Software defect prediction using relational association rule mining

Zsuzsanna Marian, Istvan Gergely Czibula, Gabriela Czibula, 2014, Inf. Sci..

Detecting software design defects using relational association rule mining

G. Czibula, I. Czibula, Z. Marian, 2015, Knowledge and Information Systems.

An Unsupervised Learning Based Conceptual Coupling Measure

Zsuzsanna Marian, Istvan Gergely Czibula, Gabriela Czibula, 2017, 2017 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

A Novel Approach for Software Defect Prediction Using Fuzzy Decision Trees

Zsuzsanna Marian, Ioan-Gabriel Mircea, Istvan Gergely Czibula, 2016, 2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

An effective approach for determining the class integration test order using reinforcement learning

Zsuzsanna Marian, Istvan Gergely Czibula, Gabriela Czibula, 2018, Appl. Soft Comput..

Identifying Hidden Dependencies in Software Systems

Zsuzsanna Marian, Istvan Gergely Czibula, Gabriela Czibula, 2017 .

A Hierarchical Clustering-Based Approach for Software Restructuring at the Package Level

Zsuzsanna Marian, Istvan Gergely Czibula, Gabriela Czibula, 2017, 2017 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).