OOIR: Observatory of International Research

Papers

(The TQCC of Automated Software Engineering is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)

Article	Citations
Understanding machine learning software defect predictions	34
Efficient deep-reinforcement learning aware resource allocation in SDN-enabled fog paradigm	25
Considering dependencies between bug reports to improve bugs triage	25
Modeling user concerns in Sharing Economy: the case of food delivery apps	24
Prediction of software fault-prone classes using ensemble random forest with adaptive synthetic sampling algorithm	22
Predicting the Defects using Stacked Ensemble Learner with Filtered Dataset	22
Algorithm selection for software validation based on graph kernels	21
A Novel Technique for Accelerating Live Migration in Cloud Computing	20
Convolutional neural network for stock trading using technical indicators	19
Directed Artificial Bee Colony algorithm with revamped search strategy to solve global numerical optimization problems	19
ConfigCrusher: towards white-box performance analysis for configurable systems	19
Faults in deep reinforcement learning programs: a taxonomy and a detection approach	16
How to certify machine learning based safety-critical systems? A systematic literature review	16
Multi-objective code reviewer recommendations: balancing expertise, availability and collaborations	15
DeepGuard: a framework for safeguarding autonomous driving systems from inconsistent behaviour	15
Opinion mining for app reviews: an analysis of textual representation and predictive models	14
On the documentation of refactoring types	13
UAV surveillance for violence detection and individual identification	13
Deep learning approach for intrusion detection in IoT-multi cloud environment	12
Discriminating features-based cost-sensitive approach for software defect prediction	12
Improving the prediction of continuous integration build failures using deep learning	11
Cloud—based multiple importance sampling algorithm with AI based CNN classifier for secure infrastructure	8
Guided pattern mining for API misuse detection by change-based code analysis	8
SSD based waste separation in smart garbage using augmented clustering NMS	8
Multi-criteria test cases selection for model transformations	7

Information security implications of using NLP in IT outsourcing: a Diffusion of Innovation theory perspective	7
Can we generate shellcodes via natural language? An empirical study	7
Traceability recovery between bug reports and test cases-a Mozilla Firefox case study	7
Towards automatic business process redesign: an NLP based approach to extract redesign suggestions	7
ANCHOR: locating android framework-specific crashing faults	6
$$l-$$PEES-IMP: lightweight proxy re-encryption-based identity management protocol for enhancing privacy over multi-cloud environment	6
AIDM: artificial intelligent for digital museum autonomous system with mixed reality and software-driven data collection and analysis	6
ALBA: a model-driven framework for the automatic generation of android location-based apps	6
Test case prioritization using test case diversification and fault-proneness estimations	6
Gradient contouring and texture modelling based CAD system for improved TB classification	6
Towards digitalization of requirements: generating context-sensitive user stories from diverse specifications	5
Leveraging structural properties of source code graphs for just-in-time bug prediction	5
Model checking strategy-controlled systems in rewriting logic	5
Quantifying effectiveness of team recommendation for collaborative software development	5
RecoLibry Suite: a set of intelligent tools for the development of recommender systems	5
Static data-flow analysis for software product lines in C	5
New failure rate model for iterative software development life cycle process	5
Does sentiment help requirement engineering: exploring sentiments in user comments to discover informative comments	5