Today, software development approach has been shifted from structure-oriented to object-oriented. UML has become a standard modeling language in object-oriented systems analysis and design. Over the past few years a considerable effort has been made in the model driven architecture transformation area. However, little attention has been paid to the issue of transformation from sequence diagram to class diagram for modeling platform independent model (PIM). This study, therefore, presents a systematic methodology, extended from Selonen et al (2003), for sequence diagram to class diagram transformation. A case is used to illustrate the concept, application, and advantage of using the proposed methodology. With this methodology, the system developer can construct PIM efficiently and thereby enhance the efficiency and quality of system development.

Software modeling with unified modeling language (UML) and model driven architecture (MDA) concept have become the new paradigm of modern systems analysis and design. Some Several CASE tools have been introduced to facilitate the transformation from platform independent model (i.e., class diagram, and sequence diagram) to platform specific model, and thereby enhance the efficiency of system development. This research depends on MDA concept, and presents a systematic methodology which integrated the UML and MDA concept with Patterns to refine PIM cohesively. A real-world case using the integrated techniques is presented. With this approach, the system developer can increase the reuse of PIM and thereby enhance the efficiency of system development.

Apply design pattern in software analysis and design can reduce time and cost by reuse proven and validated solution to avoid redesign. Design pattern provide general solution to specific problem domain, it is best to adopt design pattern in Platform Intendant Model (PIM). Model Driven Architecture (MDA) lack of methodology to judge problem domain from UML Diagram like sequential diagram, timing diagram or class diagram and how to apply design pattern in PIM mode. To alleviate the forgoing problem, this study proposed methodology to describe rule and step to apply design pattern, and present the difference between adopt design pattern by UML diagram. The research methodology is articulated using the design science research methodology. A usability study evaluation is performed to demonstrate its applicability with test case. With this proposed method, system analyst will improve software system flexibility and accuracy by design pattern after first phase PIM modeling, and object designed in software system will be low cohesion and high coupling .

¡@¡@With the rapid advance of information technology, embedded systems are becoming mature technology and have penetrated into most of the equipment. On the other hand, the unified modeling language (UML) has become a standard modeling language in object-oriented systems analysis and design. Over the past few years a considerable effort has been made in modeling the platform independent model (PIM) with UML for business information systems. However, the detailed guideline for modeling the PIM of embedded systems is lacking. ¡@¡@To alleviate the forgoing problem, this study proposed a PIM modeling methodology for embedded systems. This includes the use of sequence diagram, state machine diagram, timing diagram and class diagram for behavior and static modeling. For each diagram, the detailed modeling processes and rules are described. The research methodology is articulated using the design science research methodology. A usability evaluation is performed to demonstrate its applicability with a real-world embedded system case. With this proposed method, the system developer can easily model the PIM of embedded systems, and thereby enhance the efficiency and effectiveness of system development.

¡@¡@With the rapid advance of information technology, Service Oriented Architecture (SOA) is becoming a mature technology. Many software firms have implemented it to enhance the flexibility and efficiency of system development. Several systems analysis and design methods have been proposed to develop the SOA systems. Among them, however, the detailed guideline and procedure for identifying the services and components in PIM (Platform Independent Model) stage are lacking. ¡@¡@To alleviate the forgoing problem, this study proposed a PIM modeling methodology for developing an SOA system. The methodology which includes the business process, service, and component layers, uses the unified modeling language to describe the detailed modeling processes and rules for each layer. The research methodology is articulated using the design science research methodology. A usability evaluation is performed to demonstrate its applicability with a testing case. With this proposed method, the system developer can easily model the PIM of SOA systems, and thereby enhance the efficiency and effectiveness of system development.

Due to the fact that the environment which business confront is very dynamic, so the business require the software to reduce the response time, provide the high quality, and supply the flexible modeling process and high maintainability. In order to meet the requirement, a new software solution is emerged. Component-based software engineering is a method to integrate existed component to produce faster speed, lower cost and higher quality software. And it is concerned with the rapid assembly of systems from components where components and frameworks have certified properties; and these certified properties provide the basis for predicting the properties of systems built from components. Therefore, component based software engineering replace the position belong to traditional software engineering progressively, it become the next generation software engineering paradigm. Because businesses want to transform their requirement to be final components, so the component-based software engineering must have component modeling methodology in the system analysis stage. For this reason, the advantage and disadvantage of the component modeling methodology makes a very deep influence on component-based software engineering. And after the survey we made, we discover the greater parts of the existed component modeling methodology have a lot of defects, for example: the modeling method stay at abstract level, lack of clear and definite modeling rules, short of consistence of process document and can¡¦t meet the good component modeling characteristics. Fortunately, in our surveyed methodology, we discover the ¡§UML Component¡¨ is a component modeling methodology which can meet the good component modeling characteristics and have the develop potential. But the ¡§UML Component¡¨ methodology still has some problem, for example: lack of explicit component identify rules, complete tools support and simply modeling process. Due to these reasons, our study provides three solutions to refine and extend the ¡§UML Components¡¨ methodology. First of all, we utilize the use case identify method by [§d¤¯©M2002]¡Bthe concept of ¡§Fan-in and Fan-out¡¨ by [Marquis2002] and the use case association transform method to refine the problem of component modeling rules. Secondly, we employ data glossary, data relation matrix and operation reference matrix to improve the problem of component modeling tools. Finally, we redesign the process model which includes four stages as follows, requirement acquisition, component identification, component interaction and component specification to resolve the irrational parts of original modeling process. With this refined methodology, the system analysts can follow the stand modeling rules and process. In the other hand, the system developer also can develop the system which meet the business requirement exactly, ensure the component quality and speed up the software develop rate.

Enterprises are growing in complexity due to numerous interactions within and outside the enterprise. Enterprise modeling addresses this issue of complexity by helping to structure it. A review of the literature indicates several issues in the field of enterprise modeling need to be addressed. First, the terms related to enterprise modeling have numerous definitions, each one focusing on different aspects. These definitions are analyzed and a comprehensive definition is provided. Next, enterprise modeling methodologies and enterprise modeling frameworks in the literature focus on different views when modeling an enterprise, thus making it difficult for an enterprise to choose the framework that best fits their needs. In order to resolve this, an enterprise modeling framework is designed that attempts to incorporate all of the views of an enterprise. This framework is then extended, by taking into account various models and functionalities provided in enterprise modeling software packages.

This thesis deals with realization of process analysis of department of management and real estate managnement of a supermarket company. The goal of this work, addressed in the practical part, is to map the processes in terms of business process diagrams with description of these processes, identify potential inconsistencies and eventually recommend a revision of current documents. The theoretical part explains the concepts of process management, process, process analysis and procedure of mapping process. There are also described and evaluated basic methods and standards for process modeling.

<p dir="ltr">Smartphones have revolutionized personal computing by blending communication, entertainment, and productivity into one. Emerging applications demand high computational capabilities and are power-hungry. Optimizing the battery drain of mobile apps is critical to extending the battery life of mobile devices, enhancing the user experience. This involves optimizing the power consumption of all power-hungry components in modern smartphones.</p><p dir="ltr">The power draw of a mobile System on a Chip (SoC) is determined by its computational requirements and can become a bottleneck for the entire system. To understand and optimize power consumption, it is essential to accurately characterize the power of heterogeneous SoCs and study the interplay among default governors for the mobile CPU, GPU, and memory. Therefore, power modeling of mobile device components is foundational for effective energy profiling and analysis.</p><p dir="ltr">This thesis presents an understanding of the power consumption on modern smartphones and contributes to creating a display power model for Organic light-emitting diode (OLED), developing a lightweight GPU power model, and finally creating a Unified energy-aware governor for LLM.</p><p dir="ltr">First, we develop a novel piecewise OLED power model that accurately estimates the display power draw as a function of the displayed content. We present the design and implementation of two OLED power management tools: an accurate per-frame OLED display power profiler called PFOP and an enhanced Android Battery called Battery+ that help phone users to understand and manage phone display energy drain.</p><p dir="ltr">Second, we present APGPM, the first mobile GPU power modeling methodology that automatically selects an optimal set of performance monitoring counters (PMCs) that can accurately estimate the GPU power across different workloads. We implement APGPM in Android and evaluate it on two representative mobile GPUs, Qualcomm’s Adreno and ARM’s Mali, for diverse GPU workloads. Our evaluation shows that APGPM builds a GPU power model that reduces the average GPU power prediction error by almost half compared to the prior-art, utilization-frequency based smartphone GPU power model.</p><p dir="ltr">Third, we present a unified energy-aware governor designed to optimize the energy efficiency of three power hungry components, CPU, GPU, and memory, for large language model (LLM) inference on mobile devices. We show that the triplet governors used in mobile OSes such as Android can result in longer prefilling and decoding latencies compared to optimal combinations of CPU/GPU/memory frequencies under the same energy budget. Our unified energy-aware governor, LEG, is shown to significantly reduce time-to-first-token and time-per-output-token of LLM inference compared to the default governors.</p>

<p dir="ltr">This dissertation develops a comprehensive multiscale framework to predict microstructural evolution and associated mechanical response of materials by employing mechanistic finite element models or data-driven neural networks techniques. First, a novel approach is presented for simulating microstructural evolution during severe plastic deformation (SPD) in multiphase alloys, integrating dislocation density-based models with Crystal Plasticity Finite Element Modeling (CPFEM) to efficiently capture grain refinement across different phases in multiphase material. Second, a data-driven predictive model leveraging Artificial Neural Networks (ANN) is developed to link morphological attributes of microstructure—such as grain and cell structure—with material properties in additively manufactured AISI 316L, enhancing the ability to accurately predict material performance from microstructural details. Finally, dynamic recrystallization (DRX) is modeled through a finite element approach high-temperature deformation with the cell switching strategy of cellular automata, capturing key phenomena such as grain growth and nucleation events within a scalable multiscale approach. Together, these studies advance predictive capabilities for material deformation, promoting more efficient design and manufacturing processes.</p>