Evaluating the Feasibility of Implementing a Green Roof Retrofit on Pitched Residential Roofs

Green roofs are one solution to stormwater runoff which is a major environmental problem. However, the majority of green roofs are primarily implemented on flat roofed commercial buildings and not residential homes with sloped roofs. Team SO GREEN designed a light-weight green roof system retrofit for residential homes. Between June and November 2014, green roof performance data was collected and compared between the designed sloped roofs and a non-sloped control. The sloped design performed well and one test slope was improved with a recirculating irrigation system. An economic analysis was made and a focus group determined preliminary consumer interest, aesthetic preferences, and barriers. This study enriches the body of knowledge regarding bringing green roof systems to the residential home market.

A Binary Classifier for Test Case Feasibility Applied to Automatically Generated Tests of Event-Driven Software

Modern software application testing, such as the testing of software driven by graphical user interfaces (GUIs) or leveraging event-driven architectures in general, requires paying careful attention to context. Model-based testing (MBT) approaches first acquire a model of an application, then use the model to construct test cases covering relevant contexts. A major shortcoming of state-of-the-art automated model-based testing is that many test cases proposed by the model are not actually executable. These \textit{infeasible} test cases threaten the integrity of the entire model-based suite, and any coverage of contexts the suite aims to provide. In this research, I develop and evaluate a novel approach for classifying the feasibility of test cases. I identify a set of pertinent features for the classifier, and develop novel methods for extracting these features from the outputs of MBT tools. I use a supervised logistic regression approach to obtain a model of test case feasibility from a randomly selected training suite of test cases. I evaluate this approach with a set of experiments. The outcomes of this investigation are as follows: I confirm that infeasibility is prevalent in MBT, even for test suites designed to cover a relatively small number of unique contexts. I confirm that the frequency of infeasibility varies widely across applications. I develop and train a binary classifier for feasibility with average overall error, false positive, and false negative rates under 5\%. I find that unique event IDs are key features of the feasibility classifier, while model-specific event types are not. I construct three types of features from the event IDs associated with test cases, and evaluate the relative effectiveness of each within the classifier. To support this study, I also develop a number of tools and infrastructure components for scalable execution of automated jobs, which use state-of-the-art container and continuous integration technologies to enable parallel test execution and the persistence of all experimental artifacts.

THE FEASIBILITY OF USING WEB-BASED TECHNOLOGY FOR THE MANAGEMENT OF DREDGING PROJECTS

The research investigates the feasibility of using web-based project management systems for dredging. To achieve this objective the research assessed both the positive and negative aspects of using web-based technology for the management of dredging projects. Information gained from literature review and prior investigations of dredging projects revealed that project performance, social, political, technical, and business aspects of the organization were important factors in deciding to use web-based systems for the management of dredging projects. These factors were used to develop the research assumptions. An exploratory case study methodology was used to gather the empirical evidence and perform the analysis. An operational prototype of the system was developed to help evaluate developmental and functional requirements, as well as the influence on performance, and on the organization. The evidence gathered from three case study projects, and from a survey of 31 experts, were used to validate the assumptions. Baselines, representing the assumptions, were created as a reference to assess the responses and qualitative measures. The deviation of the responses was used to evaluate for the analysis. Finally, the conclusions were assessed by validating the assumptions with the evidence, derived from the analysis. The research findings are as follows: 1. The system would help improve project performance. 2. Resistance to implementation may be experienced if the system is implemented. Therefore, resistance to implementation needs to be investigated further and more R&D work is needed in order to advance to the final design and implementation. 3. System may be divided into standalone modules in order to simplify the system and facilitate incremental changes. 4. The QA/QC conceptual approach used by this research needs to be redefined during future R&D to satisfy both owners and contractors. Yin (2009) Case Study Research Design and Methods was used to develop the research approach, design, data collection, and analysis. Markus (1983) Resistance Theory was used during the assumptions definition to predict potential problems to the implementation of web-based project management systems for the dredging industry. Keen (1981) incremental changes and facilitative approach tactics were used as basis to classify solutions, and how to overcome resistance to implementation of the web-based project management system. Davis (1989) Technology Acceptance Model (TAM) was used to assess the solutions needed to overcome the resistances to the implementation of web-base management systems for dredging projects.

Feasibility of An Online Survey Examining the Physical Activity Patterns Among South Asian Adults Residing In the United States

Background: Physical inactivity is a major risk factor for cardiovascular disease and diabetes among South Asians (SAs) - Bangladeshi, Bhutanese, Indian, Maldivian, Nepali, Pakistani, and Sri Lankan. Methods: An online survey was used to determine the feasibility of examining physical activity (PA) levels of SAs living in the US. The Social Ecological Model was the theoretical basis for identifying individual-level, social environmental, and physical environmental factors that impact PA. Results: Ethnicity, intention, self-efficacy, and perceived health benefits of PA were significantly associated with being physically active. Facilitators to PA included achieving improved health; while barriers were lack of time to exercise, unfamiliarity with PA, and nonexistent gender-specific PA facilities. Conclusions: This study showed that online surveys can be a promising tool for data collection among SAs. Health promotion programs should include education on the benefits of PA, and provide culturally sensitive facilities that support PA, especially for SA women.