With the rapid advancement of technologies, software is gaining its popularity in assisting our daily activities in the last decades. This circumstance causes a rising concerns about a software product with high quality which lead to a question about the justification whether a software product has high quality. Therefore, a numerous of researches and studies had spent a lot of effort in software product quality assessment in order to justify whether the software product(s) under study have satisfactory quality. One of the foremost approaches to assess software product quality is the application of the quality models. For example, quality model ISO 9126. However, the quality models do not provide an explicit way to aggregate the performance of different quality aspects nor handling the various interests raised from different perspective or stakeholders. Although many studies have been conducted to aggregate the different measures of quality attributes, they are still not capable to include the various interests raised by different software product stakeholders. Therefore, some studies have attempted to apply MCDA methods in order to aggregate the measure of quality attributes as the ultimate software product quality and handling the various quality interests. However, they do not provide any rational about their particular choice of MCDA methods. Most of them justify their choice by referring to high popularity of the selected MCDA method. Without studying the suitability of MCDA methods in the application domain of the software product, it is difficult to conclude whether the chosen MCDA methods fit in the intended software engineering discipline. Furthermore, there is no systematic approach available to help other software practitioners in selecting the MCDA method that will be suitable for their needs and constraints in software product quality assessment. This thesis aims to provide the key concepts for an effective selection of suitable MCDA method for the purpose of software product quality assessment. A foremost part of this thesis presents two systematic reviews. The first review illustrates the evaluation of the characteristics of MCDA methods. The second review identifies the major needs and constraints of the software quality assessment potential MCDA method has to consider in order to be used for assessing quality of software products. Based on the results from both systematic reviews, a selection framework named MCDA-SQA framework is formulated. This framework is intended to assist the software practitioners to systematically select and adapt appropriate MCDA method(s) in order to fulfil their quality assessment needs and the respective environmental concerns.

Selection in 3D games and simulations is a well-studied problem. Many techniques have been created to address many of the typical scenarios a user could experience. For any single scenario with consistent conditions, there is likely a technique which is well suited. If there isn't, then there is an opportunity for one to be created to best suit the expected conditions of that new scenario. It is critical that the user be given an appropriate technique to interact with their environment. Without it, the entire experience is at risk of becoming burdensome and not enjoyable. With all of the different possible scenarios, it can become problematic when two or more are part of the same program. If they are put closely together, or even intertwined, then the developer is often forced to pick a single technique that works so-so in both, but is likely not optimal for either, or maybe optimal in just one of them. In this case, the user is left to perform selections with a technique that is lacking in one way or another, which can increase errors and frustration. In our research, we have outlined different selection scenarios, all of which were classified by their level of object density (number of objects in scene) and object velocity. We then performed an initial study on how it impacts performance of various selection techniques, including a new selection technique that we developed just for this test, called Expand. Our results showed, among other things, that a standard Raycast technique works well in slow moving and sparse environments, while revealing that our new Expand technique works well in denser environments. With the results from our first study, we sought to develop something that would bridge the gap in performance between those selection techniques tested. Our idea was a framework that could harvest several different selection techniques and determine which was the most optimal at any time. Each selection technique would report how effective it was, given the provided scenario conditions. The framework was responsible for activating the appropriate selection technique when the user made a selection attempt. With this framework in hand, we performed two additional user studies to determine how effective it could be in actual use, and to identify its strengths and weaknesses. Each study compared several selection techniques individually against the framework which utilized them collectively, picking the most suitable. Again, the same scenarios from our first study were reused. From these studies, we gained a deeper understanding of the many challenges associated with automatic selection technique determination. The results from these two studies showed that transitioning between techniques was potentially viable, but rife with design challenges that made its optimization quite difficult. In an effort to sidestep some of the issues surrounding the switching of discrete techniques, we sought to attack the problem from the other direction, and make a single technique act similarly to two techniques, adjusting dynamically to conditions. We performed a user study to analyze the performance of such a technique, with promising results. While the qualitative differences were small, the user feedback did indicate that users preferred this technique over the others, which were static in nature. Finally, we sought to gain a deeper understanding of existing selection techniques that were dynamic in nature, and study how they were designed, and how they could be improved. We scrutinized the attributes of each technique that were already being adjusted dynamically or that could be adjusted and innovated new ways in which the technique could be improved upon. Within this analysis, we also gave thought to how each technique could be best integrated into the Auto-Select framework we proposed earlier. This overall analysis of the latest selection techniques left us with an array of new variants that warrant being created and tested against their existing versions. Our overall research goal was to perform an analysis of selection techniques that intelligently adapt to their environment. We believe that we achieved this by performing several iterative development cycles, including user studies and ultimately leading to innovation in the field of selection. We conclude our research with yet more questions left to be answered. We intend to pursue further research regarding some of these questions, as time permits.

The online media industry has undergone changes during the last decades. Driven by technology advancements, there has been an increasing number of actors that can enhance the value of service in the media industry. The fast changing environment calls for a dynamic lens when analyzing strategic alliances forming between actors in the industry, thus this study uses a Business Ecosystem perspective to analyze how alliances should be formed to enable competitive advantage. A xase study was performed on a world leading provider of broadcast and media services to analyze how the dynamic setting affects suitable strategic alliance forms, using a partner selection framework to identify possible alliances. The results showed most potential within alliance forms of lower intergration, such as Franchise, Licensing Agreement or  Arms-Lenght Market relation. Hurdels for the higher forms of integration were identified as mostly caused by requirements of low investments and implementation times in the fast moving dynamic environment.  Identified future work is presented as performing a similar study where these hurdels are nonexistent to further analyze which alliance forms are applicable in a dynamic industry.

As Supply Chain Management has continuously evolved, it has during recent times been exposed to the opportunities and threats that follow globalization. Firms have the possibility of getting their products/services to customers worldwide by outsourcing processes. This possibility has even turned mandatory for numerous firms in order to be competitive. However, such decisions can expose the Supply Chain to various risks. Because of lack of data and Supply Chain Structures, decision-makers need to distinguish advantages vs. disadvantages between centralized, decentralized or even outsourced structures. The purpose of this study has been, based on gathered data from a case company, to determine what Supply Chain structure to opt for when it comes to purchasing. This master thesis has performed a literature review on the science of Data Mining to enrich the quality of a quantitative part based on databases of the case company. The study also reviews Supply Chain Management strategies and how to select an appropriate distribution channel design - allowing for a framework about selecting an appropriate network design and another framework summarizing current literature’s contribution on the question of centralization versus decentralization based on Finance, Performance or Information. These three pillars are the aspects used as reference of analysis in various literature and could therefore be compared with empirics. The selection framework was filled in by key individuals at the case company and was associated with qualitative contributions from interviews about strengths and weaknesses of three scenarios involving centralization, decentralization or outsourcing. With obtained data, it was possible to identify all strengths and weaknesses of each scenario and discuss differences to select the best possible option. The findings were summarized into a framework where one can clearly see pros and cons of each scenario, thus providing a concise summary of implications following centralization, decentralization and outsourcing respectively. The results of the distribution network pointed towards a decentralization of the purchasing function as a more cost-efficient strategy, but these results must be questioned because of the current setting-bias with the spreading of the COVID-19 virus and its economic consequences. However, when all arguments were grouped into the final summarizing figure, it was concluded that the outsourcing strategy is the most advantageous. This thesis has thus permitted the extension of a framework that identifies the best distribution network design and summarized the implications of centralizing, decentralizing or outsourcing purchasing. / Supply Chain Management har kontinuerligt utvecklats med bl.a. namnbyten eller nya populära strategier. Den har under modern tid varit utsatt för både möjligheter såsom hot vilka har varit följder av globalisering. Företag har erhållit möjligheterna att leverera sina produkter till kunder över hela världen men även att outsourca processer för att förenkla denna leverans. Oursourcingmöjligheten har även översatts till obligatoriska beslut för flera företag för att ens kunna erbjuda produkter till konkurrenskraftiga priser. Dessa beslut kan dock exponera en Supply Chain till olika risker, en brytning i logistikkedjan till exempel. På grund av dessa konsekvenser måste företag värdera vilken strategi som måste tillämpas för varje process i kedjan. Ska de centraliseras, decentraliseras eller outsourcas? Ändamålet med denna studie är att, baserat på insamlad data från ett case företag, kunna bestämma vilken strategi ska tillämpas när det kommer till inköp från externa leverantörer. Detta examensarbete har utfört en litteraturgenomgång på bl.a. studier om Data Mining för att berika kvalitén på den kvantitativa delen baserad på databaser från caseföretaget. Utvald litteratur förklarar olika aspekter från Supply Chain Management med involverade strategier och hur en lämplig nätverksdesign väljs ut. Målet är att utveckla ett ramverk för urval av lämplig nätverksdesign för caseföretaget samt ett ramverk för att summera litteraturens budskap till implikationer av centralisering eller decentralisering med fokus på Finans, Prestanda och Information. Urvalsramverket har därefter fyllts i av nyckelpersoner från caseföretaget för att jämföras med kvalitativa bidrag från intervjuer om styrkor och svagheter på tre utvecklade scenarios om centralisering, decentralisering eller outsourcing. Med erhållen data möjliggjordes en diskussion för att tydliggöra styrkor och svagheter för varje scenario för att kunna noggrant jämföras och skapa argument för vilket skulle väljas. Resultat och argument har generaliserats och sammanfattats i en figur där en kan tydligt se för- och nackdelar med varje scenario. På så sätt disponeras en koncis slutsats av implikationer med att centralisera, decentralisera eller att outsourca. Resultaten från urvalsramverket pekar på att decentraliseringsstrategin är den optimala för caseföretaget, detta måste dock ifrågasättas på grund av kontexten med den nuvarande spridningen av COVID-19 viruset och dess inverkan på ekonomin. Med detta i åtanke och ihopsamlade argument, drogs slutsatsen att outsourcingstrategin är den mest lämpliga för caseföretaget. Detta masterexamensarbete har således lett till förlängningen av ett urvalsramverk av distributionsnätverksdesign samt diskuterat fram och sammanfattat implikationerna av centralisering, decentralisering och outsourcing.