Software Engineers' Information Seeking Behavior in Change Impact Analysis - An Interview Study

Software engineers working in large projects must navigate complex information landscapes. Change Impact Analysis (CIA) is a task that relies on engineers' successful information seeking in databases storing, e.g., source code, requirements, design descriptions, and test case specifications. Several previous approaches to support information seeking are task-specific, thus understanding engineers' seeking behavior in specific tasks is fundamental. We present an industrial case study on how engineers seek information in CIA, with a particular focus on traceability and development artifacts that are not source code. We show that engineers have different information seeking behavior, and that some do not consider traceability particularly useful when conducting CIA. Furthermore, we observe a tendency for engineers to prefer less rigid types of support rather than formal approaches, i.e., engineers value support that allows flexibility in how to practically conduct CIA. Finally, due to diverse information seeking behavior, we argue that future CIA support should embrace individual preferences to identify change impact by empowering several seeking alternatives, including searching, browsing, and tracing.Comment: Accepted for publication in the proceedings of the 25th International Conference on Program Comprehensio

Building Summit Basecamp: Year 1

This case study shares what's been learned in the first year of Summit Basecamp, an ambitious effort to support public schools across the United States in implementing personalized learning. While recognizing that Summit Basecamp is one approach to personalized learning, we believe the lessons from the 2015-16 school year can inform the work of others in the field.Summit Basecamp is now called the Summit Learning Program. This publication is the fourth case study that FSG has written with Summit Public Schools

Visualizing test diversity to support test optimisation

Diversity has been used as an effective criteria to optimise test suites for cost-effective testing. Particularly, diversity-based (alternatively referred to as similarity-based) techniques have the benefit of being generic and applicable across different Systems Under Test (SUT), and have been used to automatically select or prioritise large sets of test cases. However, it is a challenge to feedback diversity information to developers and testers since results are typically many-dimensional. Furthermore, the generality of diversity-based approaches makes it harder to choose when and where to apply them. In this paper we address these challenges by investigating: i) what are the trade-off in using different sources of diversity (e.g., diversity of test requirements or test scripts) to optimise large test suites, and ii) how visualisation of test diversity data can assist testers for test optimisation and improvement. We perform a case study on three industrial projects and present quantitative results on the fault detection capabilities and redundancy levels of different sets of test cases. Our key result is that test similarity maps, based on pair-wise diversity calculations, helped industrial practitioners identify issues with their test repositories and decide on actions to improve. We conclude that the visualisation of diversity information can assist testers in their maintenance and optimisation activities

Impact of the Sierra Health Foundation's Clinic Capacity Building Program: Final Evaluation Report

Sierra Health Foundation (Sierra Health) launched the Clinic Capacity Building Program in 2013 as part of the Sacramento Region Health Care Partnership. The goal of the Clinic Capacity Building Program was to respond to the anticipated growth in demand (i.e., number of patients) created by the implementation of the Affordable Care Act by strengthening community health centers' administrative and operational capacity. The program aimed to improve clinic leadership, care quality and financial sustainability, thereby increasing the number of high performing Federally Qualified Health Centers in the region.In July 2014, Sierra Health contracted with the Center for Community Health and Evaluation (CCHE) to evaluate the effectiveness of its Clinic Capacity Building Program. The goal of the evaluation was to assess the effectiveness of the Clinic Capacity Building program and contribution of the program to changes in capacity among the five grantees. This is the Executive Summary of the final evaluation report, which was submitted to Sierra Health in December 2015

Information systems evaluation: Navigating through the problem domain

Information systems (IS) make it possible to improve organizational efficiency and effectiveness, which can provide competitive advantage. There is, however, a great deal of difficulty reported in the normative literature when it comes to the evaluation of investments in IS, with companies often finding themselves unable to assess the full implications of their IS infrastructure. Although many of the savings resulting from IS are considered suitable for inclusion within traditional accountancy frameworks, it is the intangible and non-financial benefits, together with indirect project costs that complicate the justification process. In exploring this phenomenon, the paper reviews the normative literature in the area of IS evaluation, and then proposes a set of conjectures. These were tested within a case study to analyze the investment justification process of a manufacturing IS investment. The idiosyncrasies of the case study and problems experienced during its attempts to evaluate, implement, and realize the holistic implications of the IS investment are presented and critically analyzed. The paper concludes by identifying lessons learnt and thus, proposes a number of empirical findings for consideration by decisionmakers during the investment evaluation process

Developing quality heathcare software using quality function deployment: A case study based on Sultan Qaboos University Hospital

Development of software is one of the most expensive projects undertaken in practice. Traditionally, the rate of failure in software development projects is higher compared to other kinds of projects. This is partly due to the failure in determining software users’ requirements. By using Quality Function Deployment (QFD), this research focuses on identification and prioritization of users’ requirements in the context of developing quality health-care software system for Sultan Qaboos University Hospital (SQUH) in Oman. A total of 95 staff working at eight departments of SQUH were contacted and they were requested to provide their requirements in using hospital information systems. Analytic Hierarchy Process has been integrated with QFD for prioritizing those user requirements. Then, in consultation with a number of software engineers, a list consisting of 30 technical requirements was generated. These requirements are divided into seven categories and all of them are purported to satisfy the user needs. At the end of QFD exercise, continuous mirror backup from backup category, multi-level access from the security and confidentiality category, linkage to databases from application category emerge as technical requirements having higher weights. These technical requirements should receive considerable attention when designing the health-care software system for SQUH.Software quality; Quality function deployment; Healthcare software; Analytic Hierarchy Process

Usability Engineering and PPGIS - Towards a Learning-improving Cycle

July 21 - 2

Alaska Army National Guard Construction Planning Process Improvement

A Project Submitted in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE in Project ManagementThe Alaska Army National Guard (AKARNG) is a jointly funded agency run under a cooperative agreement between the federal and state governments. Recognized as a state agency, the AKARNG reports to the governor for domestic response and trains for federal missions. With this relationship, the AKARNG receives funds from the National Guard Bureau (NGB) and the Alaska State Legislature for the execution of construction projects. Under the cooperative agreement, the AKARNG follows state procedures and uses the Alaska Department of Transportation and Public Facilities (ADOT/PF) to manage projects. The AKARNG Construction and Facilities Maintenance Officer (CFMO) ensures federal oversight of all AKARNG facilities. This project looks at the relationship between the AKARNG CFMO and ADOT/PF as they collaborate and plan construction projects for the AKARNG. The primary deliverables for this project are a current state swim lane chart (SLC) with written description and an improved state SLC with a written description. The goal of this project is to offer the AKARNG a roadmap for process improvement. The current and improved SLCs were produced by conducting research and engaging with stakeholders through interviews and questionnaires. Stakeholders were engaged throughout and offered quality oversight of the deliverables. The improved state SLC incorporated regulatory compliance and previously omitted policy requirements. When necessary, the improved state SLC included the addition or subtraction of steps to add value to the process. This project delivered the AKARNG a scalable depiction of their construction planning process and recommendations for improvement.Title Page / Table of Contents / List of Exhibits / List of Appendices / Project Management / Project Execution / Project Outcomes / Future Research and Project Conclusions / Appendice