Capability Maturity Model Integration (Cmmi) for Small Organizations

Software Process Improvement (SPI) is a large area of expertise that deals with software development standard processes and is a progression of proven methods of process improvement from many different methodologies. Personal Software Process (PSP) and Team Software Process (TSP) complement the implementation of Capability Maturity Model Implementation (CMMI) and can be applied gradually from the individual, to the team, and then to the organization. These solutions from Carnegie Melon\u27s Software Engineering Institute (SEI) are leading edge for the field of process improvement. Solutions like this consume many resources, are very complex, require years to implement, and can be costly. The SEI solutions offer an industry standard for SPI. Three case studies were analyzed to provide insight into the benefits of CMMI for small organizations. Decisions that steer these solutions generally involve scheduling, quality, and cost. Depending on the individual needs of an organization, the CMMI technology can fulfill what is required. The example case studies were examined and concluded that given favorable conditions, implementing CMMI is feasible for small organizations

Collaborative damage mapping for emergency response : the role of Cognitive Systems Engineering

Remote sensing is increasingly used to assess disaster damage, traditionally by professional image analysts. A recent alternative is crowdsourcing by volunteers experienced in remote sensing, using internet-based mapping portals. We identify a range of problems in current approaches, including how volunteers can best be instructed for the task, ensuring that instructions are accurately understood and translate into valid results, or how the mapping scheme must be adapted for different map user needs. The volunteers, the mapping organizers, and the map users all perform complex cognitive tasks, yet little is known about the actual information needs of the users. We also identify problematic assumptions about the capabilities of the volunteers, principally related to the ability to perform the mapping, and to understand mapping instructions unambiguously. We propose that any robust scheme for collaborative damage mapping must rely on Cognitive Systems Engineering and its principal method, Cognitive Task Analysis (CTA), to understand the information and decision requirements of the map and image users, and how the volunteers can be optimally instructed and their mapping contributions merged into suitable map products. We recommend an iterative approach involving map users, remote sensing specialists, cognitive systems engineers and instructional designers, as well as experimental psychologists

Cognitive Foundations for Visual Analytics

In this report, we provide an overview of scientific/technical literature on information visualization and VA. Topics discussed include an update and overview of the extensive literature search conducted for this study, the nature and purpose of the field, major research thrusts, and scientific foundations. We review methodologies for evaluating and measuring the impact of VA technologies as well as taxonomies that have been proposed for various purposes to support the VA community. A cognitive science perspective underlies each of these discussions