The Experts below are selected from a list of 43470 Experts worldwide ranked by ideXlab platform

Bestoun S Ahmed - One of the best experts on this subject based on the ideXlab platform.

  • tapir Automation Support of exploratory testing using model reconstruction of the system under test
    IEEE Transactions on Reliability, 2018
    Co-Authors: Miroslav Bures, Karel Frajtak, Bestoun S Ahmed
    Abstract:

    For a considerable number of software projects, the creation of effective test cases is hindered by design documentation that is either lacking, incomplete, or obsolete. The exploratory testing approach can serve as a sound method in such situations. However, the efficiency of this testing approach strongly depends on the method, the documentation of explored parts of a system, the organization and distribution of work among individual testers on a team, and the minimization of potential (very probable) duplicities in performed tests. In this paper, we present a framework for replacing and automating a portion of these tasks. A screen-flow-based model of the tested system is incrementally reconstructed during the exploratory testing process by tracking testers’ activities. With additional metadata, the model serves for an automated navigation process for a tester. Compared with the exploratory testing approach, which is manually performed in two case studies, the proposed framework allows the testers to explore a greater extent of the tested system and enables greater detection of the defects present in the system. The results show that the time efficiency of the testing process improved with the framework Support. This efficiency can be increased by team-based navigational strategies that are implemented within the proposed framework, which is documented by another case study presented in this paper.

  • tapir Automation Support of exploratory testing using model reconstruction of the system under test
    arXiv: Software Engineering, 2018
    Co-Authors: Miroslav Bures, Karel Frajtak, Bestoun S Ahmed
    Abstract:

    For a considerable number of software projects, the creation of effective test cases is hindered by design documentation that is either lacking, incomplete or obsolete. The exploratory testing approach can serve as a sound method in such situations. However, the efficiency of this testing approach strongly depends on the method, the documentation of explored parts of a system, the organization and distribution of work among individual testers on a team, and the minimization of potential (very probable) duplicities in performed tests. In this paper, we present a framework for replacing and automating a portion of these tasks. A screen-flow-based model of the tested system is incrementally reconstructed during the exploratory testing process by tracking testers' activities. With additional metadata, the model serves for an automated navigation process for a tester. Compared with the exploratory testing approach, which is manually performed in two case studies, the proposed framework allows the testers to explore a greater extent of the tested system and enables greater detection of the defects present in the system. The results show that the time efficiency of the testing process improved with framework Support. This efficiency can be increased by team-based navigational strategies that are implemented within the proposed framework, which is documented by another case study presented in this paper.

Miroslav Bures - One of the best experts on this subject based on the ideXlab platform.

  • tapir Automation Support of exploratory testing using model reconstruction of the system under test
    IEEE Transactions on Reliability, 2018
    Co-Authors: Miroslav Bures, Karel Frajtak, Bestoun S Ahmed
    Abstract:

    For a considerable number of software projects, the creation of effective test cases is hindered by design documentation that is either lacking, incomplete, or obsolete. The exploratory testing approach can serve as a sound method in such situations. However, the efficiency of this testing approach strongly depends on the method, the documentation of explored parts of a system, the organization and distribution of work among individual testers on a team, and the minimization of potential (very probable) duplicities in performed tests. In this paper, we present a framework for replacing and automating a portion of these tasks. A screen-flow-based model of the tested system is incrementally reconstructed during the exploratory testing process by tracking testers’ activities. With additional metadata, the model serves for an automated navigation process for a tester. Compared with the exploratory testing approach, which is manually performed in two case studies, the proposed framework allows the testers to explore a greater extent of the tested system and enables greater detection of the defects present in the system. The results show that the time efficiency of the testing process improved with the framework Support. This efficiency can be increased by team-based navigational strategies that are implemented within the proposed framework, which is documented by another case study presented in this paper.

  • tapir Automation Support of exploratory testing using model reconstruction of the system under test
    arXiv: Software Engineering, 2018
    Co-Authors: Miroslav Bures, Karel Frajtak, Bestoun S Ahmed
    Abstract:

    For a considerable number of software projects, the creation of effective test cases is hindered by design documentation that is either lacking, incomplete or obsolete. The exploratory testing approach can serve as a sound method in such situations. However, the efficiency of this testing approach strongly depends on the method, the documentation of explored parts of a system, the organization and distribution of work among individual testers on a team, and the minimization of potential (very probable) duplicities in performed tests. In this paper, we present a framework for replacing and automating a portion of these tasks. A screen-flow-based model of the tested system is incrementally reconstructed during the exploratory testing process by tracking testers' activities. With additional metadata, the model serves for an automated navigation process for a tester. Compared with the exploratory testing approach, which is manually performed in two case studies, the proposed framework allows the testers to explore a greater extent of the tested system and enables greater detection of the defects present in the system. The results show that the time efficiency of the testing process improved with framework Support. This efficiency can be increased by team-based navigational strategies that are implemented within the proposed framework, which is documented by another case study presented in this paper.

Karel Frajtak - One of the best experts on this subject based on the ideXlab platform.

  • tapir Automation Support of exploratory testing using model reconstruction of the system under test
    IEEE Transactions on Reliability, 2018
    Co-Authors: Miroslav Bures, Karel Frajtak, Bestoun S Ahmed
    Abstract:

    For a considerable number of software projects, the creation of effective test cases is hindered by design documentation that is either lacking, incomplete, or obsolete. The exploratory testing approach can serve as a sound method in such situations. However, the efficiency of this testing approach strongly depends on the method, the documentation of explored parts of a system, the organization and distribution of work among individual testers on a team, and the minimization of potential (very probable) duplicities in performed tests. In this paper, we present a framework for replacing and automating a portion of these tasks. A screen-flow-based model of the tested system is incrementally reconstructed during the exploratory testing process by tracking testers’ activities. With additional metadata, the model serves for an automated navigation process for a tester. Compared with the exploratory testing approach, which is manually performed in two case studies, the proposed framework allows the testers to explore a greater extent of the tested system and enables greater detection of the defects present in the system. The results show that the time efficiency of the testing process improved with the framework Support. This efficiency can be increased by team-based navigational strategies that are implemented within the proposed framework, which is documented by another case study presented in this paper.

  • tapir Automation Support of exploratory testing using model reconstruction of the system under test
    arXiv: Software Engineering, 2018
    Co-Authors: Miroslav Bures, Karel Frajtak, Bestoun S Ahmed
    Abstract:

    For a considerable number of software projects, the creation of effective test cases is hindered by design documentation that is either lacking, incomplete or obsolete. The exploratory testing approach can serve as a sound method in such situations. However, the efficiency of this testing approach strongly depends on the method, the documentation of explored parts of a system, the organization and distribution of work among individual testers on a team, and the minimization of potential (very probable) duplicities in performed tests. In this paper, we present a framework for replacing and automating a portion of these tasks. A screen-flow-based model of the tested system is incrementally reconstructed during the exploratory testing process by tracking testers' activities. With additional metadata, the model serves for an automated navigation process for a tester. Compared with the exploratory testing approach, which is manually performed in two case studies, the proposed framework allows the testers to explore a greater extent of the tested system and enables greater detection of the defects present in the system. The results show that the time efficiency of the testing process improved with framework Support. This efficiency can be increased by team-based navigational strategies that are implemented within the proposed framework, which is documented by another case study presented in this paper.

Raja Parasuraman - One of the best experts on this subject based on the ideXlab platform.

  • effects of imperfect Automation on decision making in a simulated command and control task
    Human Factors, 2007
    Co-Authors: Ericka Rovira, Kathleen Mcgarry, Raja Parasuraman
    Abstract:

    Objective: Effects of four types of Automation Support and two levels of Automation reliability were examined. The objective was to examine the differential impact of information and decision autom...

  • adaptive Automation for human robot teaming in future command and control systems
    2007
    Co-Authors: Raja Parasuraman, Michael J Barnes, Keryl Cosenzo, Sandeep Mulgund
    Abstract:

    Abstract : Advanced command and control (C2) systems such as the U.S. Army's Future Combat Systems (FCS) will increasingly use more flexible, reconfigurable components, including numerous robotic (unmanned) air and ground vehicles. Human operators will be involved in supervisory control of unmanned vehicles (UVs) with the need for occasional manual intervention. This paper discusses the design of Automation Support in C2 systems with multiple UVs. Following a model of effective human-Automation interaction design, the authors propose that operators can best be Supported by high-level Automation of information acquisition and analysis functions. Automation of decision-making functions, on the other hand, should be set at a moderate level, unless 100 percent reliability can be assured. The use of adaptive Automation Support technologies also is discussed. They present a framework for adaptive and adaptable processes as methods that can enhance human-system performance while avoiding some of the common pitfalls of "static" Automation such as over-reliance, skill degradation, and reduced situational awareness. Adaptive Automation invocation processes are based on critical mission events, operator modeling, and real-time operator performance and physiological assessment, or hybrid combinations of these methods. They describe the results of human-in-the-loop experiments involving human operator supervision of multiple UVs under multi-task conditions in simulations of reconnaissance missions. The results Support the use of adaptive Automation to enhance human-system performance in supervision of multiple UVs, balance operator workload, and enhance situational awareness. Implications for the design and fielding of adaptive Automation architectures for C2 systems involving UVs are discussed.

Catherine Burns - One of the best experts on this subject based on the ideXlab platform.

  • The Burden of Communication: Effects of Automation Support and Automation Transparency on Team Performance
    2020 IEEE International Conference on Systems Man and Cybernetics (SMC), 2020
    Co-Authors: Murat Dikmen, Philip Farrell, Shi Cao, Catherine Burns
    Abstract:

    We conducted two experiments to examine the effect of providing Automation Support and communicating the limitations of the Automation on team performance in a simulated navy environment. Two-person teams engaged with a picture compilation task with or without Automation Support. In the first experiment, there was no explicit explanations provided regarding the Automation's limitations. In the second experiment, limitations of the Automation were communicated to the participants verbally. A comparison of two experiments revealed that participants classified fewer contacts when the Automation Support was present. Moreover, communicating the limitations of Automation resulted in even fewer classifications than when no information was provided. Possible reasons for these results include confusion created by the additional information and reprioritization. These results highlight the complexity of delivering Automation transparency to operators in safety-critical environments. We conclude that Automation transparency should be carefully designed and delivered to avoid negative impacts on performance.