Conferences related to Software Testing

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2020 IEEE Applied Power Electronics Conference and Exposition (APEC)

APEC focuses on the practical and applied aspects of the power electronics business. Not just a power designer’s conference, APEC has something of interest for anyone involved in power electronics including:- Equipment OEMs that use power supplies and converters in their equipment- Designers of power supplies, dc-dc converters, motor drives, uninterruptable power supplies, inverters and any other power electronic circuits, equipments and systems- Manufacturers and suppliers of components and assemblies used in power electronics- Manufacturing, quality and test engineers involved with power electronics equipment- Marketing, sales and anyone involved in the business of power electronic- Compliance engineers testing and qualifying power electronics equipment or equipment that uses power electronics


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE)

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 The scopeis broad and includes all original and unpublished results of empirical, conceptual, experimental,and theoretical software engineering research.


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Periodicals related to Software Testing

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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Most published Xplore authors for Software Testing

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Xplore Articles related to Software Testing

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IEEE Draft International Standard for Software and Systems Engineering--Software Testing--Part 4: Test Techniques

ISO/IEC/IEEE P29119-4-DISMay2013, 2014

This part of ISO/IEC 29119 defines software testing techniques that can be used by any organization, project or smaller testing activity. The test techniques in this International Standard are used to derive the test cases executed as part of the dynamic testing process specified in part two of this standard. This International Standard is applicable to the testing in all ...


IEE Colloquium on 'Software Testing for Critical Systems' (Digest No.108)

IEE Colloquium on Software Testing for Critical Systems, 1990

None


Software Testing in Industry and Academia: A View of Both Sides in Japan

2017 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2017

Collaboration between industry and academia is important for solving problems and creating innovations. Both sides of industry and academia are important for each other, but sometimes they are incompatible. In this paper, we discuss software testing in industry and academia from their respective views in Japan on the basis of the author's experiences and studies. High quality software is required ...


What You See Is What You Test - Augmenting Software Testing with Computer Vision

2017 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2017

The blind spot of software testing is the assessment of the actual behavior of the system under test in the real, physical world. In this paper we show how this inherent restriction of software testing to the "cyber world" can be overcome with the use of methods and techniques from computer vision. It augments conventional software testing and allows making ...


Industry-Academia Collaboration in Software Testing: An Overview of TAIC PART 2017

2017 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2017

Collaboration between industry and academia in software testing leads to improvement and innovation in industry, and it is the basis for achieving transferable and empirically evaluated results. Thus, the aim of TAIC PART is to forge collaboration between industry and academia on the challenging and exciting problem of real-world software testing. The workshop is promoted by representatives of both industry ...


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Educational Resources on Software Testing

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IEEE-USA E-Books

  • IEEE Draft International Standard for Software and Systems Engineering--Software Testing--Part 4: Test Techniques

    This part of ISO/IEC 29119 defines software testing techniques that can be used by any organization, project or smaller testing activity. The test techniques in this International Standard are used to derive the test cases executed as part of the dynamic testing process specified in part two of this standard. This International Standard is applicable to the testing in all software development lifecycle models. This document is intended for, but not limited to, testers, test managers, developers, project managers, particularly those responsible for governing, managing and implementing software testing.

  • IEE Colloquium on 'Software Testing for Critical Systems' (Digest No.108)

    None

  • Software Testing in Industry and Academia: A View of Both Sides in Japan

    Collaboration between industry and academia is important for solving problems and creating innovations. Both sides of industry and academia are important for each other, but sometimes they are incompatible. In this paper, we discuss software testing in industry and academia from their respective views in Japan on the basis of the author's experiences and studies. High quality software is required and its industry is influenced by economic circumstances. In Japan, there are also problems regarding cost reductions, production of high quality software, adapting businesses, and so on. We have made efforts to solve these problems by collaborating with people in both industry and academia. Our efforts include developing test methodologies, skill standards, education syllabi, and so on.

  • What You See Is What You Test - Augmenting Software Testing with Computer Vision

    The blind spot of software testing is the assessment of the actual behavior of the system under test in the real, physical world. In this paper we show how this inherent restriction of software testing to the "cyber world" can be overcome with the use of methods and techniques from computer vision. It augments conventional software testing and allows making observations about states and events in the physical world as well as the system's real-world context. We implemented a demonstration scenario that shows how visual test automation can be combined with computer vision techniques to include observations of the physical properties of a mechatronic system in software testing. The successful application of the approach in a lab setting re-vealed several benefits and also some limitations. We discuss these benefits and limitations to highlight potential application scenarios in an industry setting and avenues for future research.

  • Industry-Academia Collaboration in Software Testing: An Overview of TAIC PART 2017

    Collaboration between industry and academia in software testing leads to improvement and innovation in industry, and it is the basis for achieving transferable and empirically evaluated results. Thus, the aim of TAIC PART is to forge collaboration between industry and academia on the challenging and exciting problem of real-world software testing. The workshop is promoted by representatives of both industry and academia, bringing together industrial software engineers and testers with researchers working on theory and practice of software testing. We present an overview of the 12th Workshop on Testing: Academia-Industry Collaboration, Practice and Research Techniques (TAIC PART 2017) and its contributions.

  • Industry-academia collaboration in software testing: An overview of TAIC PART 2015

    Collaboration between industry and academia in software testing leads to improvement and innovation in industry and it is the basis for achieving sustainable and empirically evaluated results. Thus, the aim of TAIC PART is to forge collaboration between industry and academia on the challenging and exciting problem of real-world software testing. The workshop is promoted by representatives of both industry and academia, bringing together industrial software engineers and testers with researchers working on theory and practice of software testing. This paper presents an overview of the 10th Testing: Academic and Industrial Conference - Practice and Research Techniques (TAIC PART 2015) and its contributions.

  • Industry-Academia Collaboration in Software Testing: An Overview of TAIC PART 2016

    Collaboration between industry and academia in software testing leads to improvement and innovation in industry, and it is the basis for achieving transferable and empirically evaluated results. Thus, the aim of TAIC PART is to forge collaboration between industry and academia on the challenging and exciting problem of real-world software testing. The workshop is promoted by representatives of both industry and academia, bringing together industrial software engineers and testers with researchers working on theory and practice of software testing. We present an overview of the 11th Workshop on Testing: Academia-Industry Collaboration, Practice and Research Techniques (TAIC PART 2016) and its contributions.

  • Enhancing Utility and Privacy of Data for Software Testing

    A fundamental problem in test outsourcing is how to allow a database-centric application (DCA) owner to release a smaller subset of its private data along with the application. In addition, the DCA owner needs tangible guarantees that the entities in this data are protected at a certain level of privacy, while retaining testing efficacy. We are trying to solve this problem by balancing four important dimensions: testing coverage, privacy, semantic correctness, and data minimization. We built a novel approach that enhances both utility and privacy of data for software testing using a novel combination of program analysis, clustering, and association rule mining approaches. To the best of our knowledge, there exists no prior approaches that synergistically address all of the aforementioned dimensions. We also proposed several avenues for future work based on our existing work.

  • When to Migrate Software Testing to the Cloud?

    Testing is a challenging activity for many software engineering projects, especially for large-scale systems. The amount of tests cases can range from a few hundred to several thousands, requiring significant computing resources and lengthy execution times. Cloud computing offers the potential to address both of these issues: it offers resources such as virtualized hardware, effectively unlimited storage, and software services that can aid in reducing the execution time of large test suites in a cost-effective manner. However, migrating to the cloud is not without cost, nor is it necessarily the best solution to all testing problems. This paper discusses when to migrate software testing to the cloud from two perspectives: the characteristics of an application under test, and the types of testing performed on the application.

  • Weighted Execution Profiles for Software Testing

    Existing execution profiles comprise information about the execution of program elements such as statements, branches, and def-use pairs. They lack any information about what elements are potentially more relevant to failure than others, such information could be leveraged to compute dissimilarity metrics that discriminate better between failing and passing profiles, which is beneficial to software testing. In this work, we explore three heuristics from which we will derive weights to be associated with the covered program elements such that higher weights indicate more potential relevance to failure. We evaluate our heuristics by measuring their impact on an established test suite minimization technique. Our experiments showed somewhat promising results.



Standards related to Software Testing

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IEEE Recommended Practice on Software Reliability

Software reliability (SR) models have been evaluated and ranked for their applicability to various situations. Many improvements have been made in SR modeling and prediction since 1992. This revised recommended practice reflects those advances in SR since 1992, including modeling and prediction for distributed and network systems. Situation specific usage guidance was refined and updated. The methodologies and tools included ...


IEEE Standard - Adoption of International Standard ISO/IEC 12119:1994(E) - Information Technology - Software Packages - Quality Requirements and Testing

IEEE Std 1465-1998 is an adoption of ISO/IEC 12119: 1994(E). IEEE Std 1465-1998 may be employed to a) Specify quality requirements for software, and provide instructions on how to test against these requirements. b) Manage and improve the organizationÕs quality processes and personnel. c) Establish management and engineering environments based on the quality requirements and methods in ISO/IEC 12119: 1994(E). ...


IEEE Standard Classification for Software Anomalies


IEEE Standard for Software and System Test Documentation

This standard applies to all software-based systems. It applies to systems and software being developed, acquired, operated, maintained, and/or reused [e.g., legacy, modified, Commercial-Off-the-Shelf (COTS), Government-Off-the-Shelf (GOTS), or Non-Developmental Items (NDIs)]. When conducting the test process, it is important to examine the software in its interactions with the other parts of the system. This standard identifies the system considerations that ...


IEEE Standard for Software Unit Testing


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