An Architecture-based Approach for Change Impact Analysis of Software-intensive Systems
Author | : Busch, Kiana |
Publisher | : KIT Scientific Publishing |
Total Pages | : 416 |
Release | : 2020-03-19 |
Genre | : Computers |
ISBN | : 3731509741 |
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Author | : Busch, Kiana |
Publisher | : KIT Scientific Publishing |
Total Pages | : 416 |
Release | : 2020-03-19 |
Genre | : Computers |
ISBN | : 3731509741 |
Author | : Heinrich, Robert |
Publisher | : KIT Scientific Publishing |
Total Pages | : 154 |
Release | : 2023-06-05 |
Genre | : |
ISBN | : 3731512947 |
This cumulative habilitation thesis, proposes concepts for (i) modelling and analysing dependability based on architectural models of software-intensive systems early in development, (ii) decomposition and composition of modelling languages and analysis techniques to enable more flexibility in evolution, and (iii) bridging the divergent levels of abstraction between data of the operation phase, architectural models and source code of the development phase.
Author | : Larry Wen |
Publisher | : |
Total Pages | : 544 |
Release | : 2010 |
Genre | : Computer systems |
ISBN | : |
Abstract: Most significant software-intensive systems undergo substantive change/evolution during their life time of service. Managing the consequent software changes is a difficult and costly task. In this thesis, we use two different approaches to investigate system change and its impact on the architecture and design of the system. The first approach involves traditional software change impact analysis. We propose a new and different traceability model, which is based on Genetic Software Engineering (GSE). The proposed traceability model exploits some features of GSE to create a number of advanced properties that are rare in other traceability models. For example, once a software change has been fully captured, some other design documents including the component architecture and component behavior can be automatically generated/updated. All the consequent change impacts are presented in a clear way. We have also introduced the concept of evolutionary design documents that show the evolution process of a system's architecture as well as the design of individual components. Using this proposed traceability model, a practical method to normalize and simplify the component architecture of software intensive systems has been developed. An important result we have proved is that the component architecture of a software system is independent to the functional requirements of the system. We claim that a normalized software system is easier to maintain and change. The second approach starts from a macro view. Rather than exploring the details of the change impacts from individual changes, this approach focuses on the common properties of the architecture evolution of complex systems; it stresses the topological structure from an evolutionary viewpoint. For this investigation we use scale-free networks and hierarchy theory as the major tools. Hierarchy is a natural structure for diverse large and complex systems, and recent studies reveal that many large networks from different domains are scale-free. In this research, we have discovered that the component dependency networks of many software systems are scale-free; we have also found that there is a close connection between the scale-free feature and the optimization of sorting algorithms. These results imply that there are fundamental rules working behind the evolution of large systems including software intensive systems, and that the scale-free property can be used as a possible index for the optimization level of the structure of a system. Software change and software evolution are critical aspects of software engineering. This thesis has used a macroscopic and technical, formal approach to make positive contributions to understanding and accommodating change of software-intensive systems.
Author | : Frank, Markus Kilian |
Publisher | : KIT Scientific Publishing |
Total Pages | : 400 |
Release | : 2022-07-18 |
Genre | : Computers |
ISBN | : 3731511460 |
Die modellbasierte Performancevorhersage ist ein bekanntes Konzept zur Gewährleistung der Softwarequalität. Derzeitige Ansätze basieren auf einem Modell mit einer Metrik, was zu ungenauen Vorhersagen für moderne Architekturen führt. In dieser Arbeit wird ein Multi-Strategie-Ansatz zur Erweiterung von Performancevorhersagemodellen zur Unterstützung von Multicore-Architekturen vorgestellt, in Palladio implementiert und dadurch die Genauigkeit der Vorhersage deutlich verbessert. - Model-based performance prediction is a well-known concept to ensure the quality of software. Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction models to support multicore architectures. We implemented the strategies into Palladio and significantly increased the performance prediction power.
Author | : Walter, Maximilian |
Publisher | : KIT Scientific Publishing |
Total Pages | : 350 |
Release | : 2024-07-03 |
Genre | : |
ISBN | : 3731513625 |
This work introduces architectural security analyses for detecting access violations and attack paths in software architectures. It integrates access control policies and vulnerabilities, often analyzed separately, into a unified approach using software architecture models. Contributions include metamodels for access control and vulnerabilities, scenario-based analysis, and two attack analyses. Evaluation demonstrates high accuracy in identifying issues for secure system development.
Author | : Seifermann, Stephan |
Publisher | : KIT Scientific Publishing |
Total Pages | : 412 |
Release | : 2022-12-09 |
Genre | : Computers |
ISBN | : 3731512467 |
Software vendors must consider confidentiality especially while creating software architectures because decisions made here are hard to change later. Our approach represents and analyzes data flows in software architectures. Systems specify data flows and confidentiality requirements specify limitations of data flows. Software architects use detected violations of these limitations to improve the system. We demonstrate how to integrate our approach into existing development processes.
Author | : Koch, Sandro Giovanni |
Publisher | : KIT Scientific Publishing |
Total Pages | : 398 |
Release | : 2024-04-25 |
Genre | : |
ISBN | : 3731513412 |
In this work, the authors analysed the co-dependency between models and analyses, particularly the structure and interdependence of artefacts and the feature-based decomposition and composition of model-based analyses. Their goal is to improve the maintainability of model-based analyses. They have investigated the co-dependency of Domain-specific Modelling Languages (DSMLs) and model-based analyses regarding evolvability, understandability, and reusability.
Author | : Gotin, Manuel |
Publisher | : KIT Scientific Publishing |
Total Pages | : 258 |
Release | : 2022-06-30 |
Genre | : Computers |
ISBN | : 3731511479 |
IoT applications perceive and interact with the environment via smart devices and cloud services. When operating such applications one is faced with the challenge of configuring the smart devices and the cloud services in a manner, which achieves a high data quality at low operational costs. This work supports IoT operators with IoT collection strategies and cost optimization functions for data qualities, which are influenced by the interplay of smart device and cloud service configurations.
Author | : Ananieva, Sofia |
Publisher | : KIT Scientific Publishing |
Total Pages | : 310 |
Release | : 2022-12-06 |
Genre | : Computers |
ISBN | : 3731512416 |
Developing variable systems faces many challenges. Dependencies between interrelated artifacts within a product variant, such as code or diagrams, across product variants and across their revisions quickly lead to inconsistencies during evolution. This work provides a unification of common concepts and operations for variability management, identifies variability-related inconsistencies and presents an approach for view-based consistency preservation of variable systems.
Author | : Scheerer, Max |
Publisher | : KIT Scientific Publishing |
Total Pages | : 472 |
Release | : 2023-10-23 |
Genre | : |
ISBN | : 373151320X |
Although tremendous progress has been made in Artificial Intelligence (AI), it entails new challenges. The growing complexity of learning tasks requires more complex AI components, which increasingly exhibit unreliable behaviour. In this book, we present a model-driven approach to model architectural safeguards for AI components and analyse their effect on the overall system reliability.