On the testing resource allocation problem: Research trends and perspectives
R Pietrantuono - Journal of Systems and Software, 2020 - Elsevier
In testing a software application, a primary concern is how to effectively plan the assignment
of resources available for testing to the software components so as to achieve a target goal …
of resources available for testing to the software components so as to achieve a target goal …
Enhanced constraint handling for reliability-constrained multiobjective testing resource allocation
The multiobjective testing resource allocation problem (MOTRAP) is how to efficiently
allocate the finite testing time to various modules, with the aim of optimizing system …
allocate the finite testing time to various modules, with the aim of optimizing system …
Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: Systematic literature review
Many recent studies have shown that various multi-objective evolutionary algorithms have
been widely applied in the field of search-based software engineering (SBSE) for optimal …
been widely applied in the field of search-based software engineering (SBSE) for optimal …
A time-variant fault detection software reliability model
In this work, we propose a time-variant software reliability model (SRM) which considers the
fault detection and the highest number of faults in software. The time-variant genetic …
fault detection and the highest number of faults in software. The time-variant genetic …
Early software defects density prediction: training the international software benchmarking cross projects data using supervised learning
Recent reviews of the literature indicate the need for empirical studies on cross-project
defect prediction (CPDP) that would allow aggregation of the evidence and improve …
defect prediction (CPDP) that would allow aggregation of the evidence and improve …
CBGA-ES+: A Cluster-Based Genetic Algorithm with Non-Dominated Elitist Selection for Supporting Multi-Objective Test Optimization
Many real-world test optimization problems (eg, test case prioritization) are multi-objective
intrinsically and can be tackled using various multi-objective search algorithms (eg, Non …
intrinsically and can be tackled using various multi-objective search algorithms (eg, Non …
Run-time reliability estimation of microservice architectures
R Pietrantuono, S Russo… - 2018 IEEE 29th …, 2018 - ieeexplore.ieee.org
Microservices are gaining popularity as an architectural paradigm for service-oriented
applications, especially suited for highly dynamic contexts requiring loosely-coupled …
applications, especially suited for highly dynamic contexts requiring loosely-coupled …
A software quality framework for large-scale mission-critical systems engineering
G Carrozza, R Pietrantuono, S Russo - Information and Software …, 2018 - Elsevier
Context: In the industry of large-scale mission-critical systems, software is a pivotal asset
and a key business driver. Production and maintenance costs of systems in domains like …
and a key business driver. Production and maintenance costs of systems in domains like …
Quantitative verification with adaptive uncertainty reduction
Stochastic models are widely used to verify whether systems satisfy their reliability,
performance and other nonfunctional requirements. However, the validity of the verification …
performance and other nonfunctional requirements. However, the validity of the verification …
On Estimating the Feasible Solution Space of Multi-Objective Testing Resource Allocation
The multi-objective testing resource allocation problem (MOTRAP) is concerned on how to
reasonably plan the testing time of software testers to save the cost and improve the …
reasonably plan the testing time of software testers to save the cost and improve the …