33 resources related to Combinatorial Testing
- Topics related to Combinatorial Testing
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No organizations are currently tagged "Combinatorial Testing"
ICSE is the premier forum for researchers to present and discuss the most recent innovations,trends, outcomes, experiences, and challenges in the field of software engineering. The scopeis broad and includes all original and unpublished results of empirical, conceptual, experimental,and theoretical software engineering research.
SoutheastCon is the annual Region 3 conference that brings together engineering professionals, students, and volunteers for a weekend of technical presentations, meetings, student competitions, and volunteer education.
ICST 2019 is intended to provide a common forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research findings, ideas, developments and applications in the area of Software Testing, Verification and Validation. Topics of interest include, but are not limited to:Testing theory and practice, Testing in globally-distributed organizations, Model-based testing, Model-driven engineering and testing, Domain specific testing, Quality assurance, Model checking, Formal verification, Fuzzing, Inspections, Testing and analysis tools, Design for testability, Testing education, Technology transfer in testing, Testing of open source, etc. Besides research track papers, the conference also include doctoral forum, software testing contest and various workshops.
The mission of the FedCSIS Conference Series is to provide a highly acclaimed multi-conference forum in computer science and information systems. The forum invites researchers from around the world to contribute their research results and participate in Events focused on their scientific and professional interests in computer science and information systems.The FedCSIS multi-conference consists of a significant number of recurring Events and it welcomes proposals for new Events (conferences, symposia, workshops, special sessions). Each Event may run over any span of time within the conference dates (from half-day to three days). Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science and other indexing services.
Collaboration technologies and applications to the design of processes, products, systems, and services in industries and societies. Application domains include aerospace, automotive, manufacturing, construction, logistics, transportation, power and energy, healthcare, infrastructure, administration, social networks, and entertainment.
No periodicals are currently tagged "Combinatorial Testing"
IEEE Transactions on Reliability, 2018
New processing models are being adopted in Big Data engineering to overcome the limitations of traditional technology. Among them, MapReduce stands out by allowing for the processing of large volumes of data over a distributed infrastructure that can change during runtime. The developer only designs the functionality of the program and its execution is managed by a distributed system. As ...
IEEE Transactions on Reliability, 2018
Cryptographic hash functions are security-critical algorithms with many practical applications, notably in digital signatures. Developing an approach to test them can be particularly difficult, and bugs can remain unnoticed for many years. We revisit the National Institute of Standards and Technology hash function competition, which was used to develop the SHA-3 standard, and apply a new testing strategy to all ...
IEEE Transactions on Reliability, 2018
A new algebraic system, test algebra (TA), is proposed for identifying faults in combinatorial testing for software-as-a-service (SaaS) applications. In the context of cloud computing, SaaS is a new software delivery model, in which mission-critical applications are composed, deployed, and executed on cloud platforms. Testing SaaS applications is challenging because new applications need to be tested once they are composed, ...
Genetic Programming Hyper-heuristics for Combinatorial Optimisation: Yi Mei CIS Webinar
IMS 2011 Microapps - Digital Radio Testing Using an RF Channel Replicator
Expanding Wellness & Preventative Care via Home-Based Testing - Erika Tyburski - IEEE EMBS at NIH, 2019
IMS 2012 Microapps - Virtual Flight Testing of Radar System Performance Daren McClearnon, Agilent EEsof
Challenging the stigma surrounding the role of women in technology, a journey from combinatorial optimization to IBM
Synthetic Fuels to the Rescue?
Panel: Integrating POC Testing for HLBS Diseases into Clinical Care - IEEE EMBS at NIH, 2019
Mark I. Montrose: Testing for EMC Compliance
Integrating Mobile POC Testing into Nigeria’s Healthcare System - Umut Gurkan - IEEE EMBS at NIH, 2019
Tim Winters: Internet of Things IP Testing Service - IPv6 IoT InterOp-Ware Industry Forum Panel: WF IoT 2016
Standards Education: Strategic Standardization (English)
Analytical, Cost & Outcome: POC Testing Implementation - Bradley Karon - IEEE EMBS at NIH, 2019
MicroApps: Flexible Digital Modulation Testing for Satellite Regenerative Payloads (Agilent Technologies)
Be Prepared for the Test Challenges of IoT - MicroApps 2015 Keysight Technologies
Sebastien Ziegler: F-Interop - IPv6 IoT InterOp-Ware Industry Forum Panel: WF IoT 2016
Unmet Needs for POC Technology: HIV/AIDS - Ronald Collman - IEEE EMBS at NIH, 2019
POC AAT-based Diagnostic Technology - Paul Yager - IEEE EMBS at NIH, 2019
NREL Wind Technology Center
Standards Education: Strategic Standardization (with Chinese subtitles)
New processing models are being adopted in Big Data engineering to overcome the limitations of traditional technology. Among them, MapReduce stands out by allowing for the processing of large volumes of data over a distributed infrastructure that can change during runtime. The developer only designs the functionality of the program and its execution is managed by a distributed system. As a consequence, a program can behave differently at each execution because it is automatically adapted to the resources available at each moment. Therefore, when the program has a design fault, this could be revealed in some executions and masked in others. However, during testing, these faults are usually masked because the test infrastructure is stable, and they are only revealed in production because the environment is more aggressive with infrastructure failures, among other reasons. This paper proposes new testing techniques that aimed to detect these design faults by simulating different infrastructure configurations. The testing techniques generate a representative set of infrastructure configurations that as whole are more likely to reveal failures using random testing, and partition testing together with combinatorial testing. The techniques are automated by using a test execution engine called MRTest that is able to detect these faults using only the test input data, regardless of the expected output. Our empirical evaluation shows that MRTest can automatically detect these design faults within a reasonable time.
Cryptographic hash functions are security-critical algorithms with many practical applications, notably in digital signatures. Developing an approach to test them can be particularly difficult, and bugs can remain unnoticed for many years. We revisit the National Institute of Standards and Technology hash function competition, which was used to develop the SHA-3 standard, and apply a new testing strategy to all available reference implementations. Motivated by the cryptographic properties that a hash function should satisfy, we develop four tests. The Bit-Contribution Test checks if changes in the message affect the hash value, and the Bit-Exclusion Test checks that changes beyond the last message bit leave the hash value unchanged. We develop the Update Test to verify that messages are processed correctly in chunks, and then use combinatorial testing methods to reduce the test set size by several orders of magnitude while retaining the same fault-detection capability. Our tests detect bugs in 41 of the 86 reference implementations submitted to the SHA-3 competition, including the rediscovery of a bug in all submitted implementations of the SHA-3 finalist BLAKE. This bug remained undiscovered for seven years, and is particularly serious because it provides a simple strategy to modify the message without changing the hash value returned by the implementation. We detect these bugs using a fully automated testing approach.
A new algebraic system, test algebra (TA), is proposed for identifying faults in combinatorial testing for software-as-a-service (SaaS) applications. In the context of cloud computing, SaaS is a new software delivery model, in which mission-critical applications are composed, deployed, and executed on cloud platforms. Testing SaaS applications is challenging because new applications need to be tested once they are composed, and prior to their deployment. A composition of components providing services yields a configuration providing an SaaS application. While individual components in the configuration may have been thoroughly tested, faults still arise due to interactions among the components composed, making the configuration faulty. When there are k components, combinatorial testing algorithms can be used to identify faulty interactions with t or fewer components, for some threshold 2 ≤ t ≤ k on the size of interactions considered. In general, these methods do not identify specific faults, but rather indicate the presence or absence of some faults. To identify specific faults, an adaptive testing regime repeatedly constructs and tests configurations in order to determine, for each interaction of interest, whether it is faulty or not. In order to perform such testing in a loosely coupled distributed environment such as the cloud, it is imperative that testing results can be combined from many different servers. The TA defines rules to permit results to be combined, and to identify the faulty interactions. Using the TA, configurations can be tested concurrently on different servers and in any order. The TA always keeps the high reduction rate of potential faulty configurations in fault location analysis.
No standards are currently tagged "Combinatorial Testing"