Many software development projects were not able to meet their deadlines with expected qualities under budgets. Basically, it was because the stakeholders and the de-velopment team sharing different expectations and misunderstanding the essence of how software was built. In most cases, the budget and resources were allocated according to the Functional Requirements, which described the features about the software. But on the contrary the development teams were striving in making decision about how to mitigate those Non-functional Requirements which were not included in the budget during the development cycle. However, to mitigate the Non-functional Requirements is not without a price, and letting development team impose resources arbitrarily will make software budget estimation more complicated and worse. This research pointed out what Non-functional Requirements should be abides by the international standard ISO 9126, offered a relatively accurate budget estimation framework. The framework showed how the stakeholders and the development team reach the consensus about the software, how to integrate with Cost Accounting to monitor the budget distribution and to implicate how software should be scheduled and estimated the cost for next coming projects.

Most of the process measurement studies are related with time and cost based models. Although quality is the other conventional aspect, there are no widely used models for measuring the process quality in the literature. In order to provide complementary information about the quality, a process quality measurement model has been chosen to be developed and the studies about process characteristics have been searched in the scope of the thesis. Moreover, by utilizing the similarities between process and software, the studies in software quality have been investigated. In the light of the researches, a model is built on the basis of ISO/IEC 9126 Software Product Quality Model. Some of the quality attributes are redefined in the model according to the process characteristics. In addition, new attributes unique only to the process are developed. A case study is performed and its results discussed from different perspectives of applicability, understandability and suitability.

<p>This thesis emphasizes on investigating the relationship between the quality attributes and service oriented architecture (SOA). Due to quality attributes requirements drive the design of software architecture, it is necessary to maintain the positive quality of SOA and improve the negative quality of SOA. This thesis gives an introduction to SOA, Enterprise Service Bus (ESB) and MULE. Then, it covers information on quality of systems and tactics for achieving each quality attribute. Finally, we discuss the quality of SOA in detail, and illustrate how to set up a SOA and how to improve its quality using a case of an order for supermarket.</p> / Order of supermarket

Objetivou-se determinar os efeitos de dietas contendo três fontes de lipídeos (semente de girassol, caroço de algodão e soja em grão \"in natura\") e duas de selênio (orgânico ou inorgânico) sobre o desempenho animal, características de carcaça e qualidade da carne de bovinos da raça Nelore (Bos taurus indicus). Foram utilizados 54 machos, castrados, com idade média de 30 meses e com peso vivo médio de 458 ± 39 kg no início do experimento. Os animais foram distribuídos em blocos, de acordo com o peso inicial, com delineamento em arranjo fatorial de tratamentos do tipo 3x2, cujos fatores de variação foram três fontes de lipídeos e duas fontes de selênio. Cada grupo de três animais foi alojado em uma baia por um período de 120 dias. As características de rendimento de carcaça, área de olho de lombo, espessura de gordura subcutânea, índice de marmorização, perdas totais ao cozimento e maciez objetiva não foram influenciadas pelo tipo de fontes de lipídeos ou de selênio na dieta. A inclusão de fonte orgânica de selênio resultou em maior concentração deste elemento no tecido muscular, quando comparada à fonte de selênio inorgânica. As fontes de lipídeos utilizadas na dieta influenciaram o atributo de suculência e sabor estranho da carne dos animais estudados enquanto a fonte de selênio influenciou apenas no atributo de sabor estranho. / This study was carried out to determine the effects of the inclusion of three sources of fat (sunflower seed, whole cottonseed and raw soybean ) and two sources of selenium (organic or inorganic) in the diets fed to Nellore cattle (Bos taurus indicus) on the animal performance and carcass and meat quality characteristics. Fifty-four bovine males, castrated, with an average age of 30 months and 458 ± 39 kg at the beginning of the experiment were distributed, according to initial weight, in blocks with a 3x2 factorial arrangement: three sources of lipids and two sources of selenium. The animals were housed in stalls, three per pen, during 120 days. Carcass characteristics (carcass yield, the rib eye area, fat thickness, marbling index and shear force) were not influenced by the fat or selenium sources in the diet. The inclusion of organic source of selenium resulted in higher concentration in the muscle, compared to the inorganic source. The fat source used in diet influenced the attribute of juiciness and strange flavor of the animals meat studied, however the selenium source influenced only the attribute of taste.

Software patterns provide solutions to recurring design problems, provide a way to reason about the quality attributes, and support stakeholders in understanding the system. Naturally, the use of software patterns emerges from the requirements of the software. Use Cases have been a traditional and authentic approach to document these requirements. We propose a way to mine these patterns by sing use cases and advocate their significance in saving resources and time. For this purpose, an open-source system is discussed and four design patterns are mined with the help of use cases elicited from the documentation and literature available for the selected system. Patterns mined in this system are then document in GOF format.Furthermore, the consequences of few patterns on quality attributes are studied and an additional design pattern is proposed to improve the quality of the system. / Folkspark Vägan 15:11 ,372 40 Ronneby ,Sweden

Software patterns provide solutions to recurring design problems, provide a way to reason about the quality attributes, and support stakeholders in understanding the system. Naturally, the use of software patterns emerges from the requirements of the software. Use Cases have been a traditional and authentic approach to document these requirements. We propose a way to mine these patterns by sing use cases and advocate their significance in saving resources and time. For this purpose, an open-source system is discussed and four design patterns are mined with the help of use cases elicited from the documentation and literature available for the selected system. Patterns mined in this system are then document in GOF format.Furthermore, the consequences of few patterns on quality attributes are studied and an additional design pattern is proposed to improve the quality of the system. / Folkparksvägen 15:11, 372 40 Ronneby,Sweden

This thesis emphasizes on investigating the relationship between the quality attributes and service oriented architecture (SOA). Due to quality attributes requirements drive the design of software architecture, it is necessary to maintain the positive quality of SOA and improve the negative quality of SOA. This thesis gives an introduction to SOA, Enterprise Service Bus (ESB) and MULE. Then, it covers information on quality of systems and tactics for achieving each quality attribute. Finally, we discuss the quality of SOA in detail, and illustrate how to set up a SOA and how to improve its quality using a case of an order for supermarket. / Order of supermarket

Each day, the need for as well as the amount of network-based applications grows and with it the implementation of RESTful APIs. For all these APIs there is a need for documentation of the API's behavior, its benefits, how it interacts with other APIs, and its expected result. To solve this; An API specification is constructed. This is a document containing the design philosophy of the APIs and can act as a guideline for how they should be constructed. When designing API specifications it is often difficult to understand what objective quality the API document upholds. To understand the objective quality of an API specification it must first be understood what a good objective quality is in this regard. We used static code tests (linter rules) that are mapped to three quality attributes that fit the industry's consensus of the most important quality attributes that need to be complacent for a good quality API. We then implemented an automatic process of splitting API specifications into positive and negative training data using the linter results of the rules. The resulting data is used to train our BERT model.The model will then be able to give an objective score to unseen API specifications. We then used a saliency map (textual heatmap) in order to understand BERT's decisions, which added the potential to generate new linter rules from the given results. After testing unseen API specifications on our BERT model, we saw that it was able to generate a reasonable quality score. Although, when inserting smaller features to generate a textual heatmap, the predictions of our model were not correct, hence not making it possible to understand BERT's decisions through our implementation. This also meant that new rules could not be acquired from reviewing the BERT's result.

With the emergence of the internet as a new business channel and its impact on the overall role of today¿s customers, existing models for the measurement of perceived quality, satisfaction and loyalty are worth revisiting. This is specifically important in light of the prominent progress of some of the new business concepts, particularly customer experience management, and the rising emphasis on customers¿ hedonic and emotional needs. This study attempts to bridge the gap in existing literature by examining the online customer experience in its entirety, attending within the study to both the utilitarian and hedonic needs of online customers and giving special attention to emerging aspects in the online environment, such as customer engagement in self-driven experiences. Therefore, the study includes a comprehensive review of a large body of knowledge, both in consumer behaviour and marketing literature as well as quality management literature, in addition to a scrutiny of 50 studies for different evaluation models in the online environment. This is in order to identify a list of attributes and factors that impact customer evaluations of online experiences. Upon the synthesis of the list of attributes and factors that impact customer evaluations of online experiences, an online blog was created as an environment for asynchronous focus groups. The online blog was beneficial in creating a deeper understanding of what online customers want and what impacts their experiences. Following, an online questionnaire was administered in two stages, once for measure purification purposes which received 90 pilot responses and once for mass data collection purposes which received 366 responses. As a result of this study, an integrated model for the measurement of online customer experience that emphasises the significance of the emotional component was proposed. The model consists of three components, each serve a specific measurement purpose. The XQual construct which consists of 7 attributes and 30 factors, is a performance measure of the experience in relation to specific aspects that address customers¿ utilitarian and hedonic needs. The satisfaction continuum consists of four factors and is an output measure for each experience or transaction with the online firm. The loyalty continuum consists of four factors and is an outcome measure that indicates customers¿ attitudinal commitment towards the online firm.

Software quality attributes are properties that reflect the quality of a software system, and Non-functional requirements (NFRs) are the specifications that define how a software system should perform to reach a desired level of goals of the quality attributes.The evaluation of quality attributes is important to show the effectiveness of a system in meeting customers' NFRs. Continuous integration (CI) environments have emerged as powerful platforms for organizations to improve software quality through automated software verification and validation.Despite this, there is a growing need for evaluating quality attributes that is often met by in-house development of metrics and tools.This highlights the importance of quality attributes for software product quality. This thesis investigates the association between quality attributes and components of a CI environment, as well as how to utilize these components for evaluating software quality attributes.The focus is on improving the knowledge of the evaluation and providing specific recommendations for companies to enhance their CI environments for higher demands of quality evaluation.The contributions of this thesis include a better understanding of the relationship between quality attributes and CI components, and a set of practical guidelines for companies to effectively leverage CI for quality attribute evaluation. The studies in this thesis utilized mixed methodologies, including a systematic literature review, a multi-case study conducted in four software development companies, and an synthesis of the collected data.The multi-case study provided a comprehensive overview of practices for quality attribute evaluation and how CI components can generate data to support the evaluation of specific attributes.The synthesis study presents a maturity model based on the collected data from both academia and industry, and the model can aid organizations in assessing their current level of maturity in utilizing CI environments to identify potential improvements.The results in these studies show the capabilities of different components of a CI environment and how these components can be used to support the evaluation of quality attributes.While the use of CI environments for the thesis topic offers benefits, it also presents several challenges, for example, the challenge to identify effective quality metrics. In conclusion, this thesis contributes to the understanding of the use of CI environments for evaluating software quality attributes.The results suggest that CI environments can be an effective approach for quality attribute evaluation, but suitable metrics need to be considered to ensure accurate and meaningful evaluation results. Furthermore, the thesis presents areas for future research, such as the use of machine learning techniques to improve the accuracy of quality assessment using CI environments.