SLDeep: Statement-Level Software Defect Prediction Using Deep-Learning Model on Static Code Features A Majda, M Vahidi-Asl, A Khalilian, P Poorsarvi-Tehrani, H Haghighi Expert Systems with Applications 147, 1-14, 2020 | 100 | 2020 |
An improved method for test case prioritization by incorporating historical test case data A Khalilian, MA Azgomi, Y Fazlalizadeh Science of Computer Programming 78 (1), 93-116, 2012 | 73 | 2012 |
Prioritizing test cases for resource constraint environments using historical test case performance data Y Fazlalizadeh, A Khalilian, MA Azgomi, S Parsa 2009 2nd IEEE International Conference on Computer Science and Information …, 2009 | 53 | 2009 |
On the optimization approach towards test suite minimization S Parsa, A Khalilian International Journal of Software Engineering and its applications 4 (1), 15-28, 2010 | 50 | 2010 |
Code4Bench: A Multidimensional Benchmark of Codeforces Data for Different Program Analysis Techniques A Majd, M Vahidi-Asl, A Khalilian, A Baraani-Dastjerdi, B Zamani Journal of Computer Languages 53, 38-52, 2019 | 34 | 2019 |
Incorporating historical test case performance data and resource constraints into test case prioritization Y Fazlalizadeh, A Khalilian, M Abdollahi Azgomi, S Parsa Tests and Proofs: Third International Conference, TAP 2009, Zurich …, 2009 | 33 | 2009 |
G3MD: Mining Frequent Opcode Sub-graphs for Metamorphic Malware Detection of Existing Families A Khalilian, A Nourazar, M Vahidi-Asl, H Haghighi Expert Systems with Applications 112 (C), 15-33, 2018 | 32 | 2018 |
Bi-criteria test suite reduction by cluster analysis of execution profiles A Khalilian, S Parsa Advances in Software Engineering Techniques: 4th IFIP TC 2 Central and East …, 2012 | 24 | 2012 |
A new algorithm to Test Suite Reduction based on cluster analysis S Parsa, A Khalilian, Y Fazlalizadeh 2009 2nd IEEE International Conference on Computer Science and Information …, 2009 | 23 | 2009 |
A bi-objective model inspired greedy algorithm for test suite minimization S Parsa, A Khalilian Future Generation Information Technology: First International Conference …, 2009 | 18 | 2009 |
Automatic reward shaping in reinforcement learning using graph analysis M Marashi, A Khalilian, ME Shiri 2012 2nd International eConference on Computer and Knowledge Engineering …, 2012 | 16 | 2012 |
CGenProg: Adaptation of Cartesian Genetic Programming with Migration and Opposite Guesses for Automatic Repair of Software Regression Faults A Khalilian, A Baraani-Dastjerdi, B Zamani Expert Systems with Applications 169 (C), 2021 | 15 | 2021 |
Automated Program Repair Using Genetic Programming and Model Checking Z Zojaji, BT Ladani, A Khalilian Applied Intelligence 45 (4), 1066-1088, 2016 | 10 | 2016 |
ConsilientSFL: Using Preferential Voting System to Generate Combinatorial Ranking Metrics for Spectrum-Based Fault Localization A Majd, M Vahidi-Asl, A Khalilian, B Bagheri Applied Intelligence 52 (10), 11068-11088, 2022 | 8 | 2022 |
Programming language criteria for model transformation evaluation L Samimi-Dehkordi, A Khalilian, B Zamani 2014 4th International Conference on Computer and Knowledge Engineering …, 2014 | 8 | 2014 |
On the Evaluation of Automatic Program Repair Techniques and Tools A Khalilian, A Baraani-Dastjerdi, B Zamani 2016 24th Iranian Conference On Electrical Engineering (ICEE), 61-66, 2016 | 5 | 2016 |
APRSuite: A Suite of Components and Use Cases Based on Categorical Decomposition of Automatic Program Repair Techniques and Tools A Khalilian, A Baraani-Dastjerdi, B Zamani Journal of Computer Languages 57, 1-34, 2020 | 4 | 2020 |
MetaSPD: Metamorphic Analysis for Automatic Software Piracy Detection A Khalilian, H Golbaghi, A Nourazar, H Haghighi, M Vahidi-Asl Computer and Knowledge Engineering (ICCKE), 2016 6th International …, 2016 | 4 | 2016 |
SituRepair: Incorporating Machine-Learning Fault Class Prediction to Inform Situational Multiple Fault Automatic Program Repair M Valueian, M Vahidi-Asl, A Khalilian International Journal of Critical Infrastructure Protection 37, 1-13, 2022 | 3 | 2022 |
Experiments with automatic software piracy detection utilising machine-learning classifiers for micro-signatures A Khalilian, A Mirzaeiyan, M Vahidi-Asl, H Haghighi Journal of Experimental & Theoretical Artificial Intelligence 31 (2), 267-289, 2019 | 1 | 2019 |