3,881 research outputs found

    COMPATIBILITY TESTING FOR COMPONENT-BASED SYSTEMS

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    Many component-based systems are deployed in diverse environments, each with different components and with different component versions. To ensure the system builds correctly for all deployable combinations (or, configurations), developers often perform compatibility testing by building their systems on various configurations. However, due to the large number of possible configurations, testing all configurations is often infeasible, and in practice, only a handful of popular configurations are tested; as a result, errors can escape to the field. This problem is compounded when components evolve over time and when test resources are limited. To address these problems, in this dissertation I introduce a process, algorithms and a tool called Rachet. First, I describe a formal modeling scheme for capturing the system configuration space, and a sampling criterion that determines the portion of the space to test. I describe an algorithm to sample configurations satisfying the sampling criterion and methods to test the sampled configurations. Second, I present an approach that incrementally tests compatibility between components, so as to accommodate component evolution. I describe methods to compute test obligations, and algorithms to produce configurations that test the obligations, attempting to reuse test artifacts. Third, I present an approach that prioritizes and tests configurations based on developers' preferences. Configurations are tested, by default starting from the most preferred one as requested by a developer, but cost-related factors are also considered to reduce overall testing time. The testing approaches presented are applied to two large-scale systems in the high-performance computing domain, and experimental results show that the approaches can (1) identify compatibility between components effectively and efficiently, (2) make the process of compatibility testing more practical under constant component evolution, and also (3) help developers achieve preferred compatibility results early in the overall testing process when time and resources are limited

    Policy Design for Controlling Set-Point Temperature of ACs in Shared Spaces of Buildings

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    Air conditioning systems are responsible for the major percentage of energy consumption in buildings. Shared spaces constitute considerable office space area, in which most office employees perform their meetings and daily tasks, and therefore the ACs in these areas have significant impact on the energy usage of the entire office building. The cost of this energy consumption, however, is not paid by the shared space users, and the AC's temperature set-point is not determined based on the users' preferences. This latter factor is compounded by the fact that different people may have different choices of temperature set-points and sensitivities to change of temperature. Therefore, it is a challenging task to design an office policy to decide on a particular set-point based on such a diverse preference set. As a result, users are not aware of the energy consumption in shared spaces, which may potentially increase the energy wastage and related cost of office buildings. In this context, this paper proposes an energy policy for an office shared space by exploiting an established temperature control mechanism. In particular, we choose meeting rooms in an office building as the test case and design a policy according to which each user of the room can give a preference on the temperature set-point and is paid for felt discomfort if the set-point is not fixed according to the given preference. On the other hand, users who enjoy the thermal comfort compensate the other users of the room. Thus, the policy enables the users to be cognizant and responsible for the payment on the energy consumption of the office space they are sharing, and at the same time ensures that the users are satisfied either via thermal comfort or through incentives. The policy is also shown to be beneficial for building management. Through experiment based case studies, we show the effectiveness of the proposed policy.Comment: Journal paper accepted in Energy & Buildings (Elsevier

    U.S. SPACE FORCE (USSF) ACQUISITION OCCUPATIONAL COMPETENCY INTEGRATION INTO A TALENT OPERATIONS PLATFORM

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    The idea of using competencies as a vehicle for effective talent management has been an idea explored by many organizations. Recently all service components across the Department of Defense (DOD) have begun a revolution within talent management, particularly with job placement. The DOD’s newest component, the United States Space Force (USSF), actively seeks to implement a competency-based process as dictated by the Guardian Ideal. This capstone report provides USSF with recommendations on effectively integrating a scalable competency-driven system into a talent operations platform that manages Guardian talent during assignment placement. The team evaluated civilian and governmental talent operations systems and processes through interviews with relevant talent management personnel within the DOD and industry. This qualitative analysis fueled the team’s development of a simulation model to identify the effects of competency integration on the system and its interaction with external variables. Throughout the research, the team confirmed that all services desire the effective integration of competencies but lack the implementation of accountable competencies by a validation method. The team recommends Space Force develop a way to validate and input competency assessments by implementing the competency framework within a software system in terms of a scoring algorithm to provide a clear picture for Guardians and Commanders to determine the best fit for vacant billets.Space Force Talent Management Office (ETMO)Major, United States ArmyCaptain, United States ArmyCaptain, United States ArmyCaptain, United States ArmyCaptain, United States ArmyApproved for public release. Distribution is unlimited

    PMKS+: Recreating a Legacy Application

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    The goal of this project was to recreate the Planar Mechanism Kinematic Simulator (PMKS), a legacy, open-source web application, on a modern web platform with an enhanced user experience. The conversion included support for multiple browsers and improvements to the graphical user interface. A user interface is effective when it improves the overall experience of the user. This application was developed using the latest technologies in web development, such as HTML5 and Typescript, according to the standards of the World Wide Web Consortium. Through multiple evaluations testing the interface and functions, we were able to create a similar application to PMKS that has an improved user interface experience

    A Hybrid Data-Driven Web-Based UI-UX Assessment Model

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    Today, a large proportion of end user information systems have their Graphical User Interfaces (GUI) built with web-based technology (JavaScript, CSS, and HTML). Some of these web-based systems include: Internet of Things (IOT), Infotainment (in vehicles), Interactive Display Screens (for digital menu boards, information kiosks, digital signage displays at bus stops or airports, bank ATMs, etc.), and web applications/services (on smart devices). As such, web-based UI must be evaluated in order to improve upon its ability to perform the technical task for which it was designed. This study develops a framework and a processes for evaluating and improving the quality of web-based user interface (UI) as well as at a stratified level. The study develops a comprehensive framework which is a conglomeration of algorithms such as the multi-criteria decision making method of analytical hierarchy process (AHP) in coefficient generation, sentiment analysis, K-means clustering algorithms and explainable AI (XAI)

    A Multi Perspective Approach for Understanding the Determinants of Cloud Computing Adoption among Australian SMEs

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    Cloud computing is proved to be an effective computing technology for organisations through the advantages that it offers such as IT technical agility and scalability, enhancing businesses processes, and increasing enterprises competitiveness. In Australia, there is an emerging trend that small and medium-sized enterprises (SMEs) begin to adopt this technology in the conventional working practices. However, there is a dearth of prior studies on examining the factors that influence the cloud computing adoption among Australian SMEs. To fill the empirical vacuum, this research-in-progress proposes an integrated framework for examining the determinants of cloud computing service adoption with the consideration of the unique characteristics of Australian SMEs, such as relatively low adoption of cloud computing services, less innovative, and limited knowledge about cloud computing and its benefits and hindrances. To this end, we are conducting consecutive studies to investigate this research issue. An exploratory interview study will be applied to observe and verify the characteristics of Australian SMEs toward the cloud computing adoption. This is followed by an organisational level survey that examines the effects of determinants on cloud computing adoption. Finally, a decision model for cloud computing adoption among Australian SMEs will be developed by using a Multi Criteria Decision Approach (MCDA) through rating, prioritising, and ranking of various criteria and alternatives available to the decision makers. Adopting the mixed-method research fashion, this research-in-progress intends to make significant implications to scholars and practitioners alike in the cloud computing research and applications areas

    IDENTIFYING A CUSTOMER CENTERED APPROACH FOR URBAN PLANNING: DEFINING A FRAMEWORK AND EVALUATING POTENTIAL IN A LIVABILITY CONTEXT

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    In transportation planning, public engagement is an essential requirement forinformed decision-making. This is especially true for assessing abstract concepts such aslivability, where it is challenging to define objective measures and to obtain input that canbe used to gauge performance of communities. This dissertation focuses on advancing adata-driven decision-making approach for the transportation planning domain in thecontext of livability. First, a conceptual model for a customer-centric framework fortransportation planning is designed integrating insight from multiple disciplines (chapter1), then a data-mining approach to extracting features important for defining customersatisfaction in a livability context is described (chapter 2), and finally an appraisal of thepotential of social media review mining for enhancing understanding of livability measuresand increasing engagement in the planning process is undertaken (chapter 3). The resultsof this work also include a sentiment analysis and visualization package for interpreting anautomated user-defined translation of qualitative measures of livability. The packageevaluates users satisfaction of neighborhoods through social media and enhances thetraditional approaches to defining livability planning measures. This approach has thepotential to capitalize on residents interests in social media outlets and to increase publicengagement in the planning process by encouraging users to participate in onlineneighborhood satisfaction reporting. The results inform future work for deploying acomprehensive approach to planning that draws the marketing structure of transportationnetwork products with residential nodes as the center of the structure
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