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Three categories of misfit have been identified in the software package implementation context. They are Data, Functional, and Output misfits. This study presents a methodology, based on the business form analysis and SEMINT technique, to help identify the Data and Output misfits. With this methodology, the software package acquiring organizations or consulting firms can more easily and systematically identify where the Data and Output misfits are and what the degree of misfits is. These results can contribute to the selection of a suitable software package and are valuable to the decision of either package customization or business process reengineering for the misfits during the package implementation.

Tato diplomová práce se zabývá problémem bezpečné distribuce software. Je navrženo zlepšení s pomocí doménového systému, který je použit pro uložení verifikačních klíčů, potřebných pro ověření integrity balíků stáhnutých pomocí správce balíků. Navíc je navržena rozšířená verze, které se zabývá zabezpečením metadat repositářů. Obě verze jsou implementovány v jazyce Python a integrovány do správce balíků dnf. Tato implementace je otestována ve virtuálním prostředí, diskutována a zhodnocena z hlediska způsobené zátěže.

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<p dir="ltr">Software Package Registries are an integral part of the Software Supply Chain, acting as collaborative platforms that unite contributors, users, and packages, and streamline package management processes. Much of the engineering work around reusing packages from these platforms deals with the issue of synthesis, combining multiple packages into a new package or downstream project. Recently, researchers have examined registries that specialize in providing Pre-Trained Models (PTMs), to explore the nuances of the PTM Supply Chain. These works suggest that the main engineering challenge of PTM reuse is not synthesis but selection. However, these findings have been primarily qualitative and lacking quantitative evidence of the observed differences. I therefore evaluate the following hypothesis:</p><p dir="ltr"><i>The prioritization of selection over synthesis in Pre-Trained Model reuse means that the evolution and reuse of Pre-Trained Models differs compared to traditional software. </i><i>The evolution of models will be more linear, and the reuse of models will be more centralized.</i></p>

World-wide, there has been a large increase in tertiary student numbers, not entirely matched by funding increases. Consequently, instructors are faced with large, diverse classes, and find themselves struggling to provide adequate assessment and prompt feedback, two quantities critical in an effective learning environment. Personal computers and the Internet can help solve this problem. The aim of this study was to develop, implement and validate a Web-based software package that, through providing practice and assessment opportunities, improved student learning and reduced marking and related mundane aspects of instructor workload. At the start of the study, such a package already existed in prototype form: OASIS (Online Assessment System with Integrated Study). As the study progressed, this software package was first fully rewritten and then repeatedly modified. OASIS delivers individualised tasks, marks student responses, supplies prompt feedback, and logs student activity. Staff can deliver sets of practice questions and assessments to students: assessments may involve different questions for different students, not just numerically different versions of the same questions. Given my role as teacher, the traditional research ideal of observing without affecting the research environment was both impossible and unconscionable. In particular, since preliminary evidence suggested that OASIS did enhance student learning, I could not adopt a ‘two groups’ approach to the research, with one group using OASIS while the other did not. Instead, an action research methodology was seen as most appropriate for my double role of teacher and researcher. / This methodology enabled me, in the light of my findings, to continuously modify the learning environment and enhance student learning. The action research proceeded through a spiral of one-semester cycles of planning, acting, observing and reflecting. To maximize rigour, the research ran through eight cycles over four years and involved considerable triangulation. OASIS itself collected much quantitative data. Further data were collected via interview, survey, email and informal discussion from three groups: current students, postgraduates and academics. My colleagues provided alternative perceptions and interpretations, as did Physics Department academics who were using OASIS, and an external academic who interviewed academics and investigated the implementation of OASIS. Perhaps surprisingly, academics had generally adopted OASIS to promote student learning rather than to decrease their own workloads. In some cases workloads were reduced; however, where OASIS assessments augmented rather than replaced existing traditional assessments, workloads actually went up slightly. All instructors who used OASIS reported enhanced student learning and wished to continue using it. Student surveys, interviews, focus-group discussions and informal feedback showed that students found the software easy to use and considered that it helped them improve their skills and understanding. OASIS questions were preferred over textbook questions. Students commonly requested OASIS to be available in more of their areas of study. In general students wanted hints or model answers though some argued against their provision. / The majority of students were enthusiastic about the use of OASIS for practice, and activity logs revealed that they did use OASIS extensively. These logs also revealed the motivating power of assessments: typically half the online practice activity took place in the last 36 hours prior to assessments. Interviews provided further interesting insights into the ways different students approached their studies and assessments. However, students did voice concerns about the validity of OASIS assignments, noting their peers could rely on the efforts of others to score highly in these. A number of steps were carried out in an attempt to defuse these concerns, including: disabling OASIS practice during assignments, basing assignments on previously unseen questions, and providing different assignment questions to different students. While this study has achieved the goal of developing, implementing and validating OASIS, many future opportunities exist. OASIS may be used in schools as well as universities. Non-numerical questions, where answers may be somewhere between right and wrong, are possible. OASIS can also be used to deliver concept inventories to students to support research into concept acquisition and retention.

Material selection is one of the major points that should be taken into account seriously in the engineering design stage. Each material has various properties such as mechanical, thermal, electrical, physical, environmental, optical and biological properties. However, it is a well known fact that only a limited number of design engineers have a thorough knowledge on all these properties of a specific material, which is planned to be used in the manufacturing of the product. Therefore, the design engineer should be guided in selecting the most suitable material. In the scope of this thesis, the aim was to develop an algorithm and a software package for material selection to help the design engineer in his decision making process. In the program, since steel is a widely used material in industry, it was selected as a material class among whole engineering materials, and a database covering all the necessary properties of various steels was constructed. These properties include chemical, mechanical, thermal, electrical and physical properties for steels. The database developed by using Microsoft Access also contains steels of 29 different steel standards and can be updated if the user wants. The software package was developed for Windows environment by using Microsoft Visual Basic 6.0. In the program, steels can be searched for the list of suitable steels by entering application areas and properties such as chemical component, yield strength, heat capacity and electrical resistance. In addition to this, lists of steels can be created by selecting the appropriate name of the steel standards. Force and load calculations for various deformation processes such as forging, rolling, extrusion and drawing can also be carried out in the relevant modules within the program.

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