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2020 – today
- 2023
[j14]Ruchika Malhotra, Megha Khanna
:
On the applicability of search-based algorithms for software change prediction. Int. J. Syst. Assur. Eng. Manag. 14(1): 55-73 (2023)- 2022
- [j13]Megha Khanna:
A Systematic Review of Ensemble Techniques for Software Defect and Change Prediction. e Informatica Softw. Eng. J. 16(1): 220105 (2022) - [j12]Ruchika Malhotra, Megha Khanna:
A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports. Int. J. Inf. Retr. Res. 12(1): 1-18 (2022) - 2021
- [c7]Megha Khanna, Srishti Priya, Diksha Mehra:
Software Change Prediction with Homogeneous Ensemble Learners on Large Scale Open-Source Systems. OSS 2021: 68-86
2010 – 2019
- 2019
- [j11]Ruchika Malhotra, Megha Khanna:
Software Change Prediction: A Systematic Review and Future Guidelines. e Informatica Softw. Eng. J. 13(1): 227-259 (2019) - [j10]Ruchika Malhotra, Megha Khanna:
Analyzing Evolution Patterns of Object-Oriented Metrics: A Case Study on Android Software. Int. J. Rough Sets Data Anal. 6(3): 49-66 (2019) - [j9]Ruchika Malhotra, Megha Khanna:
Dynamic selection of fitness function for software change prediction using Particle Swarm Optimization. Inf. Softw. Technol. 112: 51-67 (2019) - 2018
- [j8]Ruchika Malhotra, Megha Khanna:
An empirical study to evaluate the relationship of object-oriented metrics and change proneness. Int. Arab J. Inf. Technol. 15(6): 1016-1023 (2018) - [j7]Ruchika Malhotra, Megha Khanna:
Threats to validity in search-based predictive modelling for software engineering. IET Softw. 12(4): 293-305 (2018) - [j6]Ruchika Malhotra, Megha Khanna:
Particle swarm optimization-based ensemble learning for software change prediction. Inf. Softw. Technol. 102: 65-84 (2018) - [j5]Ruchika Malhotra, Megha Khanna:
Prediction of change prone classes using evolution-based and object-oriented metrics. J. Intell. Fuzzy Syst. 34(3): 1755-1766 (2018) - 2017
- [j4]Ruchika Malhotra, Megha Khanna:
An exploratory study for software change prediction in object-oriented systems using hybridized techniques. Autom. Softw. Eng. 24(3): 673-717 (2017) - [j3]Ruchika Malhotra, Megha Khanna:
An empirical study for software change prediction using imbalanced data. Empir. Softw. Eng. 22(6): 2806-2851 (2017) - [j2]Ruchika Malhotra, Megha Khanna, Rajeev R. Raje:
On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions. Swarm Evol. Comput. 32: 85-109 (2017) - [c6]Ruchika Malhotra, Megha Khanna:
Software change prediction using voting particle swarm optimization based ensemble classifier. GECCO (Companion) 2017: 311-312 - 2016
- [c5]Ruchika Malhotra, Megha Khanna:
Common threats to software quality predictive modeling studies using search-based techniques. ICACCI 2016: 554-560 - 2015
- [c4]Ruchika Malhotra, Megha Khanna:
Mining the impact of object oriented metrics for change prediction using Machine Learning and Search-based techniques. ICACCI 2015: 228-234 - 2014
- [c3]Ruchika Malhotra, Megha Khanna:
Examining the effectiveness of machine learning algorithms for prediction of change prone classes. HPCS 2014: 635-642 - [c2]Ruchika Malhotra, Megha Khanna:
Analyzing software change in open source projects using Artificial Immune System algorithms. ICACCI 2014: 2674-2680 - [c1]Ruchika Malhotra, Megha Khanna:
A new metric for predicting software change using gene expression programming. WETSoM 2014: 8-14 - 2013
- [j1]Ruchika Malhotra, Megha Khanna:
Investigation of relationship between object-oriented metrics and change proneness. Int. J. Mach. Learn. Cybern. 4(4): 273-286 (2013)
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last updated on 2023-09-28 03:50 CEST by the dblp team
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