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In Continuous Integration (CI), regression testing is constrained by the time between commits. This demands for careful selection and/or prioritization of test cases within test suites too large to be run entirely. To this aim, some Machine Learning (ML) ...

• TRAP is a well rooted area with consolidated findings and many future directions.

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 under given constraints. In the literature, ...

The adoption of cloud computing for providing resource and delivering services is an irreversible trend. For most IT companies, the quality of provided services is strongly dependent on reliability and performance of the underlying cloud ...

We introduce the DevOpRET approach for continuous reliability testing in DevOps. It leverages information monitored in operation to guide operational-profile based testing, which is conceived as part of the acceptance testing stage before each next ...

Event stream processing has recently emerged as a popular paradigm for implementing high-volume distributed (near-)real time data processing applications. Several open source systems are today available, supporting the development of such ...

• Event stream processing (ESP) has recently emerged as a popular paradigm for implementing high-volume data processing applications.
• Software aging is a phenomenon consisting of the performance degradation, or the increase of the ...

This paper explores the usage of search-based techniques for the Testing Resource Allocation Problem (TRAP). We focus on the analysis of the literature, surveying the research proposals where search-based techniques are exploited for different ...

Simulation represents a powerful technique for the analysis of dependability and performance aspects of distributed systems. For large-scale critical systems, simulation demands complex experimentation environments and the integration of different tools,...

We introduce covrel, an adaptive software testing approach based on the combined use of operational profile and coverage spectrum, with the ultimate goal of improving the delivered reliability of the program under test. Operational profile-based testing ...

The interworking between cellular and wireless local area networks, as well as the spreading of mobile devices equipped with several positioning technologies pave the ground to new and more favorable indoor/outdoor location-based services (LBSs). Thus, ...

Testing software to assess or improve reliability presents several practical challenges. Conventional operational testing is a fundamental strategy that simulates the real usage of the system in order to expose failures with the highest occurrence ...

Not all bugs are equal; different surfacing patterns make some harder to expose.Environment plays a key role on how bugs manifest themselves as failure.Trigger analysis helps selecting the best V&V and fault tolerance actions to take. The impact of ...

Lessons learned from accident experiences in safety-critical infrastructures are valuable not only for the organizations operating the infrastructures but also for third-party organizations developing or operating similar safety-critical infrastructure ...

Failure Mode and Effects Analysis (FMEA) is a well-known technique for evaluating the effects of potential failure modes of components of a system. It is a crucial reliability and safety engineering activity for critical systems requiring systematic ...

While Software Aging and Rejuvenation (SAR) research has been steadily increasing, the artifacts related to SAR studies (such as software aging measurements and bug datasets) are seldom made available to researchers and practitioners, thus limiting ...

The interaction of software with its execution environment is an underestimated cause of complex faults activation and systems failure. This paper discusses a possible framework to emulate anomalous environment conditions in order to assess the impact ...

Defect prediction techniques allow spotting modules (or commits) likely to contain (introduce) a defect by training models with product or process metrics--thus supporting testing, code integration, and release decisions. When applied to processes where ...

Static analysis is a widely adopted technique in the industrial development of software systems. It allows to automatically check for code compliance with respect to predefined programming rules. When applied to large software systems, sanitizing the ...

Static analysis is a widely adopted technique in the industrial development of software systems. It allows to automatically check for code compliance with respect to predefined programming rules. When applied to large software systems, sanitizing the ...

Defect prediction techniques allow spotting modules (or commits) likely to contain (introduce) a defect by training models with product or process metrics -- thus supporting testing, code integration, and release decisions. When applied to processes ...