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- Hjertström, Andreas, 1972-
(författare)
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Data Management in Component-Based Embedded Real-Time Systems
- 2012
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- This thesis presents new data management techniques for run-time data in component-based embedded real-time systems. These techniques enable data to be modeled, analyzed and structured to improve data management during system development, maintenance, and execution. The foundation of our work is a case-study that identifies a number of problems with current state-of-practice in data management for industrial embedded real-time systems. We introduce two novel concepts: the data entity and the database proxy. The data entity is a design-time concept that allows designers to manage data objects throughout different design and maintenance activities. It includes data-type specification, documentation, specification of timing and quality properties, tracing of dependencies between data objects, and enables analysis and automated validation. The database proxy is a run-time concept designed to allow the use of state-of-the-art database technologies in contemporary software-component technologies for embedded systems. Database proxies decouple components from an underlying database residing in the component framework. This allows components to remain encapsulated and reusable, while providing temporally predictable access to data maintained in a database, thus enabling the use of database technologies, which has previously excluded, in these systems. To validate our proposed techniques, we present a tool implementation of the data entity as well as implementations of the database proxy approach, using commercial tools, the AUTOSAR standardized automotive software architecture, and automotive hardware. Our results show that the presented techniques can contribute to the development of future component-based embedded real-time systems, by providing structured and efficient data management.
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- Mellegård, Niklas, et al.
(författare)
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Impact of Introducing Domain-Specific Modelling in Software Maintenance : An Industrial Case Study
- 2016
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Ingår i: IEEE Transactions on Software Engineering. - 0098-5589 .- 1939-3520. ; 42:3, s. 248-263
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Tidskriftsartikel (refereegranskat)abstract
- Domain-specific modelling (DSM) is a modern software development technology that aims at enhancing productivity. One of the claimed advantages of DSM is increased maintainability of software. However, current empirical evidence supporting this claim is lacking. In this paper, we contribute evidence from a case study conducted at a software development company. We study how the introduction of DSM affected the maintenance of a legacy system. We collected data about the maintenance phase of a system that was initially developed using manual programming, but which was gradually replaced by DSM development. We performed statistical analyses of the relation between the use of DSM and the time needed to resolve defects, the defect density, and the phase in which defects were detected. The results show that after introducing DSM the defect density is lower, that defects are found earlier, but resolving defects takes longer. Other observed benefits are that the number of developers and the number of person-hours needed for maintaining the system decreased, and the portability to new platforms increased. Our findings are useful for organizations that consider introducing DSM and would like to know which benefits can be realized in software maintenance.
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- Robles, Gregorio, et al.
(författare)
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A reflection on the impact of model mining from GitHub
- 2023
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Ingår i: Information and Software Technology. - : Elsevier. - 0950-5849 .- 1873-6025. ; 164
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Tidskriftsartikel (refereegranskat)abstract
- Context: Since 1998, the ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS) has been studying all aspects surrounding modeling in software engineering, from languages and methods to tools and applications. In order to enable empirical studies, the MODELS community developed a need for having examples of models, especially of models used in real software development projects. Such models may be used for a range of purposes, but mostly related to domain analysis and software design (at various levels of abstraction). However, finding such models was very difficult. The most used ones had their origin in academic books or student projects, which addressed “artificial” applications, i.e., were not base on real-case scenarios. To address this issue, the authors of this reflection paper, members of the modeling and of the mining software repositories fields, came together with the aim of creating a dataset with an abundance of modeling projects by mining GitHub. As a scoping of our effort we targeted models represented using the UML notation because this is the lingua franca in practice for software modeling. As a result, almost 100k models from 22k projects were made publicly available, known as the Lindholmen dataset. Objective: In this paper, we analyze the impact of our research, and compare this to what we envisioned in 2016. We draw practical lessons gained from this effort, reflect on the perils and pitfalls of the dataset, and point out promising avenues of research. Method: We base our reflection on the systematic analysis of recent research literature, and especially those papers citing our dataset and its associated publications. Results: What we envisioned in the original research when making the dataset available has to a major extent not come true; however, fellow researchers have found alternative uses of the dataset. Conclusions: By understanding the possibilities and shortcomings of the current dataset, we aim to offer the research community i) future research avenues of how the data can be used; and ii) raise awareness of the limitations, not only to point out threats to validity of research, but also to encourage fellow researchers to find ideas to overcome them. Our reflections can also be helpful to researchers who want to perform similar mining efforts.
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