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Capsules are modeling language elements which are sometimes used to develop real-time software. One way to test such capsule elements without relying on dependencies to other units is to use mock objects. The aim of the study was to look at existing object-oriented design patterns and investigate how they could be used for capsules, in order to perform mock testing. The focus was to find solutions that were usable from the programmers’ point of view, meaning that they should promote high user effectiveness, efficiency and satisfaction when implementing them. It was also important that program efficiency wasn’t affected negatively. 5 design- or refactoring patterns were adapted for capsules: Constructor Injection, Setter Injection, Parameterize Method, Factory Method and Abstract Factory. Those patterns were evaluated by 5 programmers in a usability test, where Incarnate Injection (an adaptation of Constructor Injection) and Abstract Factory were considered most usable. Incarnate Injection seemed to be easier to implement and promoted high user efficiency, while Abstract Factory was considered more flexible. The performance tests indicated that Abstract Factory compromises program efficiency when the factory product is resource-heavy and is required frequently by dependent capsules. The study showed that it is possible to adapt design patterns to capsules by looking at conceptual similarities between capsules and classes. However, there are cases when this adaptation is impossible. Furthermore, even when adaptation is possible, it was apparent that different patterns adapt differently well to capsules.

Att designa en generell och utbyggbar mjukvara är inte enkelt, då det krävs en bred kompetens inom många olika områden. Vi belyser i detta arbete en del av problematiken kring design. Utgångspunkten är ett praktikfall vars målmiljö rör processer och integrationer. Huvudfokus ligger på designmönster, men även en bredare genomgång av ämnen så som utvecklingsmetodik, Service Oriented Architecture (SOA), Web Services (WS) och utvecklingsmiljöer presenteras. Arbetet bedrivs i enlighet med riktlinjer från Rational Unified Process (RUP) och slutprodukten är en checklista på tre punkter. De tre punkterna speglar de lärdomar vi dragit av arbetet genom saker vi gjort och saker vi borde ha gjort. God design kan uppnås genom att förstå den uppgift man åtagit sig, utvärdera sitt resultat och delresultat samt genom användandet av rätt verktyg. Framtida forskningsområden med anknytning till vårt rör förslagsvis metoders betydelse för mjukvarudesign, dynamiska perspektiv hos utvecklare och mer enhetlighet kring begreppet SOA.

The evolution of WWW leads to continuous growth of demands that are placed on web applications that results in creating sophisticated web architectures. To minimize the complexity behind their design, software frameworks were introduced. There are hundreds of web frameworks, hence the choice of the right framework can be seen as searching for the holy grail. This thesis investigates the possibility of creating and validates usefulness of a classification scheme which organizes well-known object-oriented design patterns found in popular web frameworks: Apache Struts, Ruby on Rails, CakePHP and Zend Framework. The proposed classification scheme is based on two criteria: purpose and scope. The classification of such patterns that capture design rationale behind the decisions and best practices, is potentially important for building or restructuring a generic web framework, for capturing expertise knowledge and for orientation purposes in the problem domain - web engineering. The methodology used in this thesis is based on case studies and the identification of design patterns in web frameworks uses manual approaches. The results revealed popular design patterns in web frameworks and that the proposed classification scheme in a form of a 2D matrix must be refined, because relationships among design patterns in web frameworks are important and have a tendency to be formed as complex hierarchies. It is proposed to use a classification scheme in a form of a map or a tree when refining the scheme.

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The aim of this thesis is to describe design patterns and other programming best practices used in the development of Android applications. The theoretical part analyzes design patterns, Kotlin programming language, dependency injection, reactive programming and automatic testing. The practical part deals with the design and implementation of a sample Android application, which demonstrates the advantages of using design patterns and other proven programming practices described in the theoretical part.

This diploma thesis is based around SMS module for free e-commerce solution. Because of big amount of e-commerce platforms, this dissertation focuses on creating generic solution of SMS module, which will be easily modifiable across individual platforms. The SMS module is used to notify administrators or customers about order changes. Module also contains effective SMS marketing tool, which allows, for a low price, targeting ads in a form of SMS. Including a whole lot of other functions, like statistics, history of outcoming messages, optional language mutation and other settings requested by customers.

This thesis describes code generation using design patterns. It deals with questions of specification of design patterns and their usage in code generation. The main part of thesis follows describtions of design patterns, their categorization, usage purpose and main ways of design patterns definitions. It describes the most often used formal design patterns specifications, their possible usage in code generation and design of algorithm for searching similar structures of patterns in source code in detail.

REST (Representational state transfer) is an architectural style for distributed hypermedia systems. The simplicity of REST allows straightforward communication between HTTP clients and servers using URIs (Uniform Resource Identifiers) and HTTP methods, e.g., GET, POST, PUT, and DELETE. To do the communication effectively between clients and servers, there is a set of best design practices (design and linguistic patterns) shall be followed, and a set of poor design practices (design and linguistic antipatterns) shall be avoided. This study aims to determine whether there is a relationship between design and linguistic quality in Google RESTful APIs. To find this relation, a tool is developed to detect patterns and antipatterns in REST APIs both in terms of design and linguistic quality. The input of this tool is qualitative data (Google APIs) and its output is quantitative data. Using this quantitative data, a statistical study is then performed to detect the relation. The tests that are conducted to obtain the final results are Chi-squared and Phi Coefficient tests. The result of Chi-squared that considered all the groups of patterns and antipatterns shows that there is a statistically significant relation between design and linguistic quality. However, when we assess the individual pair of patterns and antipatterns, our Phi Coefficient tests show that for most of the cases, there is no or negligible relationship between linguistic and design patterns and antipatterns.

REST (REpresentational State Transfer) is commonly used for designing APIs. Two main categories of REST API quality have been identified in previous research: linguistic and design quality. Linguistic quality revolves around the design of the URIs. Design quality revolves around the metadata and body in HTTP requests and responses. For enabling and simplifying communications with REST, both linguistic and design quality are important, however, previous research has shown that even major APIs using REST are not always following best practices for linguistic and design quality. This study investigates if there is a statistical relation between linguistic and design quality. We selected 326 API endpoints from ten public APIs for this study. This study has reused and improved a Java-based tool in previous research for detecting aspects of linguistic quality in the APIs endpoints. For this study, we also developed a tool based on Node.js for detecting aspects of design quality in the API endpoints. These two tools are applied on the same API endpoints to be able to study the statistical relation. A Chi-Square test, implemented with R, showed that there is a significant statistical relation in our findings between linguistic and design quality. Pairwise phi-coefficient comparisons, implemented with Python, between each combination of the linguistic and design aspects used in this study identified eight weak and two moderate relations among the linguistic and design quality aspects. However, sample tests showed that the Java-based tool for detecting linguistic quality were not accurate, which made us fail to answer our problem formulation.