The Experts below are selected from a list of 183 Experts worldwide ranked by ideXlab platform

Mark Harman - One of the best experts on this subject based on the ideXlab platform.

  • Using hybrid algorithm for Pareto efficient multi-objective test suite minimisation
    Journal of Systems and Software, 2010
    Co-Authors: Shin Yoo, Mark Harman
    Abstract:

    Test suite minimisation techniques seek to reduce the effort required for regression testing by selecting a subset of test suites. In previous work, the problem has been considered as a single-objective optimisation problem. However, real world regression testing can be a complex process in which multiple testing criteria and constraints are involved. This paper presents the concept of Pareto efficiency for the test suite minimisation problem. The Pareto-efficient approach is inherently capable of dealing with multiple objectives, providing the decision maker with a group of solutions that are not dominated by each other. The paper illustrates the benefits of Pareto efficient multi-objective test suite minimisation with empirical studies of two and three objective formulations, in which multiple objectives such as coverage and past fault-Detection History are considered. The paper utilises a hybrid, multi-objective genetic algorithm that combines the efficient approximation of the greedy approach with the capability of population based genetic algorithm to produce higher-quality Pareto fronts.

  • pareto efficient multi objective test case selection
    International Symposium on Software Testing and Analysis, 2007
    Co-Authors: Shin Yoo, Mark Harman
    Abstract:

    Previous work has treated test case selection as a single objective optimisation problem. This paper introduces the concept of Pareto efficiency to test case selection. The Pareto efficient approach takes multiple objectives such as code coverage, past fault-Detection History and execution cost, and constructs a group of non-dominating, equivalently optimal test case subsets. The paper describes the potential bene?ts of Pareto efficient multi-objective test case selection, illustrating with empirical studies of two and three objective formulations.

  • ISSTA - Pareto efficient multi-objective test case selection
    Proceedings of the 2007 international symposium on Software testing and analysis - ISSTA '07, 2007
    Co-Authors: Shin Yoo, Mark Harman
    Abstract:

    Previous work has treated test case selection as a single objective optimisation problem. This paper introduces the concept of Pareto efficiency to test case selection. The Pareto efficient approach takes multiple objectives such as code coverage, past fault-Detection History and execution cost, and constructs a group of non-dominating, equivalently optimal test case subsets. The paper describes the potential bene?ts of Pareto efficient multi-objective test case selection, illustrating with empirical studies of two and three objective formulations.

Shin Yoo - One of the best experts on this subject based on the ideXlab platform.

  • Using hybrid algorithm for Pareto efficient multi-objective test suite minimisation
    Journal of Systems and Software, 2010
    Co-Authors: Shin Yoo, Mark Harman
    Abstract:

    Test suite minimisation techniques seek to reduce the effort required for regression testing by selecting a subset of test suites. In previous work, the problem has been considered as a single-objective optimisation problem. However, real world regression testing can be a complex process in which multiple testing criteria and constraints are involved. This paper presents the concept of Pareto efficiency for the test suite minimisation problem. The Pareto-efficient approach is inherently capable of dealing with multiple objectives, providing the decision maker with a group of solutions that are not dominated by each other. The paper illustrates the benefits of Pareto efficient multi-objective test suite minimisation with empirical studies of two and three objective formulations, in which multiple objectives such as coverage and past fault-Detection History are considered. The paper utilises a hybrid, multi-objective genetic algorithm that combines the efficient approximation of the greedy approach with the capability of population based genetic algorithm to produce higher-quality Pareto fronts.

  • pareto efficient multi objective test case selection
    International Symposium on Software Testing and Analysis, 2007
    Co-Authors: Shin Yoo, Mark Harman
    Abstract:

    Previous work has treated test case selection as a single objective optimisation problem. This paper introduces the concept of Pareto efficiency to test case selection. The Pareto efficient approach takes multiple objectives such as code coverage, past fault-Detection History and execution cost, and constructs a group of non-dominating, equivalently optimal test case subsets. The paper describes the potential bene?ts of Pareto efficient multi-objective test case selection, illustrating with empirical studies of two and three objective formulations.

  • ISSTA - Pareto efficient multi-objective test case selection
    Proceedings of the 2007 international symposium on Software testing and analysis - ISSTA '07, 2007
    Co-Authors: Shin Yoo, Mark Harman
    Abstract:

    Previous work has treated test case selection as a single objective optimisation problem. This paper introduces the concept of Pareto efficiency to test case selection. The Pareto efficient approach takes multiple objectives such as code coverage, past fault-Detection History and execution cost, and constructs a group of non-dominating, equivalently optimal test case subsets. The paper describes the potential bene?ts of Pareto efficient multi-objective test case selection, illustrating with empirical studies of two and three objective formulations.

James J. Sciubba - One of the best experts on this subject based on the ideXlab platform.

  • Oral cancer and its Detection. History-taking and the diagnostic phase of management.
    The Journal of the American Dental Association, 2001
    Co-Authors: James J. Sciubba
    Abstract:

    ABSTRACT Background Comprehensive patient evaluation begins with an accurate analysis of all factors of the patient's History before the physical examination is performed. Risk factor identification is particularly important in most cases of oral mucosal dysplasia and carcinoma, as it alerts the clinician to an increased susceptibility for such alterations. The armamentarium of the dentist, which ranges from noninvasive indicators to a scalpel biopsy, permits a thorough evaluation of any observed mucosal changes. Newer additions to this armamentarium have been developed and are emerging that aid in the process of characterizing lesions, thereby facilitating appropriate management. Methods The author presents methods of assessing and analyzing a patient's oral health status. He discusses carcinogens and cofactors, as well as dietary considerations, in the development of oral mucosal pre-cancer and cancer. He also presents details of the clinical evaluation, which can lead the clinician to possible further evaluation and analysis by an expanding array of diagnostic tools. Results The article identifies the factors a clinician should consider when evaluating the dental patient, from initial presentation and risk factor identification to the use of traditional assessment parameters. New and evolving diagnostic tools, coupled with cell and tissue characterization by an oral and maxillofacial pathologist, remain critical in terms of patient management and in maintaining optimum standards of care. Conclusions and Clinical Implications A comprehensive oral examination must include integration of each patient's in-depth health History and the physical findings. Appreciation of subtle surface changes as a possible harbinger of pathology and the traditional process of observation combined with new and emerging tools now allow for earlier diagnosis that will translate into improved outcomes.

  • Oral cancer and its Detection. History-taking and the diagnostic phase of management.
    Journal of the American Dental Association (1939), 2001
    Co-Authors: James J. Sciubba
    Abstract:

    Comprehensive patient evaluation begins with an accurate analysis of all factors of the patient's History before the physical examination is performed. Risk factor identification is particularly important in most cases of oral mucosal dysplasia and carcinoma, as it alerts the clinician to an increased susceptibility for such alterations. The armamentarium of the dentist, which ranges from noninvasive indicators to a scalpel biopsy, permits a thorough evaluation of any observed mucosal changes. Newer additions to this armamentarium have been developed and are emerging that aid in the process of characterizing lesions, thereby facilitating appropriate management. The author presents methods of assessing and analyzing a patient's oral health status. He discusses carcinogens and cofactors, as well as dietary considerations, in the development of oral mucosal precancer and cancer. He also presents details of the clinical evaluation, which can lead the clinician to possible further evaluation and analysis by an expanding array of diagnostic tools. The article identifies the factors a clinician should consider when evaluating the dental patient, from initial presentation and risk factor identification to the use of traditional assessment parameters. New and evolving diagnostic tools, coupled with cell and tissue characterization by an oral and maxillofacial pathologist, remain critical in terms of patient management and in maintaining optimum standards of care. A comprehensive oral examination must include integration of each patient's in-depth health History and the physical findings. Appreciation of subtle surface changes as a possible harbinger of pathology and the traditional process of observation combined with new and emerging tools now allow for earlier diagnosis that will translate into improved outcomes.

T Braysy - One of the best experts on this subject based on the ideXlab platform.

  • priority channel selection based on Detection History database
    International Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2010
    Co-Authors: Johanna Vartiainen, Marko Hoyhtya, Janne Lehtomaki, T Braysy
    Abstract:

    This paper proposes a new database-based two-stage channel selection method for cognitive radios. The proposed method consists of two stages, namely the database collection and signal Detection parts. The database collects information about channels. When a cognitive radio needs to find an unoccupied channel for a transmission, it sends a query to the database. Based on the information collected to the database, the most probably unoccupied channels at requesting time are the best candidates when searching unoccupied channels, and these channels are submitted to the cognitive radio. The cognitive radio performs first the power level Detection. Based on the power level information delivered from the database, a full signal Detection is performed next to the channel with low enough power level to ensure that the channel is really unoccupied.

  • CrownCom - Priority channel selection based on Detection History database
    Proceedings of the 5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2010
    Co-Authors: Johanna Vartiainen, Marko Hoyhtya, Janne Lehtomaki, T Braysy
    Abstract:

    This paper proposes a new database-based two-stage channel selection method for cognitive radios. The proposed method consists of two stages, namely the database collection and signal Detection parts. The database collects information about channels. When a cognitive radio needs to find an unoccupied channel for a transmission, it sends a query to the database. Based on the information collected to the database, the most probably unoccupied channels at requesting time are the best candidates when searching unoccupied channels, and these channels are submitted to the cognitive radio. The cognitive radio performs first the power level Detection. Based on the power level information delivered from the database, a full signal Detection is performed next to the channel with low enough power level to ensure that the channel is really unoccupied.

Alade O. Tokuta - One of the best experts on this subject based on the ideXlab platform.

  • Strengthening barrier-coverage of static sensor network with mobile sensor nodes
    Wireless Networks, 2015
    Co-Authors: Yuqing Zhu, Donghyun Kim, Huaipan Jiang, Alade O. Tokuta
    Abstract:

    A wireless sensor network (WSN) provides a barrier-coverage over an area of interest if no intruder can enter the area without being detected by the WSN. Recently, barrier-coverage model has received lots of attentions. In reality, sensor nodes are subject to fail to detect objects within its sensing range due to many reasons, and thus such a barrier of sensors may have temporal loopholes. In case of the WSN for border surveillance applications, it is reasonable to assume that the intruders are smart enough to identify such loopholes of the barrier to penetrate. Once a loophole is found, the other intruders have a good chance to use it continuously until the known path turns out to be insecure due to the increased security. In this paper, we investigate the potential of mobile sensor nodes such as unmanned aerial vehicles and human patrols to fortify the barrier-coverage quality of a WSN of cheap and static sensor nodes. For this purpose, we first use a single variable first-order grey model, GM(1,1), based on the intruder Detection History from the sensor nodes to determine which parts of the barrier is more vulnerable. Then, we relocate the available mobile sensor nodes to the identified vulnerable parts of the barrier in a timely manner, and prove this relocation strategy is optimal. Throughout the simulations, we evaluate the effectiveness of our algorithm.

  • WASA - Fortifying Barrier-Coverage of Wireless Sensor Network with Mobile Sensor Nodes
    Wireless Algorithms Systems and Applications, 2014
    Co-Authors: Donghyun Kim, Joong-lyul Lee, Huaipan Jiang, Alade O. Tokuta
    Abstract:

    Recently, the barrier-coverage of wireless sensor network received huge attention thanks to the important applications such as border protection. In practice, sensor nodes are subject to intermittent failure to detect objects within its sensing range due to many reasons. Therefore, a barrier of sensor nodes may exhibit temporal loopholes. In this paper, we investigate the potential of mobile sensor nodes such as unmanned aerial vehicles and human patrols to fortify the barrier-coverage of static wireless sensors. We use a single variable first-order grey model, GM(1,1), based on the intruder Detection History from the sensor nodes to determine which parts of the barrier is more vulnerable. Then, we relocate the available mobile sensor nodes to the identified vulnerable parts of the barrier in a timely manner. We show this relocation strategy is optimal in theory. By the simulations, we also evaluate the average performance of our algorithm.