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  • 1.
    Al Mamun, Abdullah
    et al.
    Division of Software Engineering Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
    Berger, Christian
    Division of Software Engineering Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
    Hansson, Jörgen
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Explicating, Understanding and Managing Technical Debt from Self-Driving Miniature Car Projects2014In: Proceedings 2014 6th IEEE International Workshop on Managing Technical Debt: MTD 2014, Los Alamitos, CA: IEEE Computer Society, 2014, p. 11-18Conference paper (Refereed)
    Abstract [en]

    Technical debt refers to various weaknesses in the design or implementation of a system resulting from trade-offs during software development usually for a quick release. Accumulating such debt over time without reducing it can seriously hamper the reusability and maintainability of the software. The aim of this study is to understand the state of the technical debt in the development of self-driving miniature cars so that proper actions can be planned to reduce the debt to have more reusable and maintainable software. A case study on a selected feature from two self-driving miniature car development projects is performed to assess the technical debt. Additionally, an interview study is conducted involving the developers to relate the findings of the case study with the possible root causes. The result of the study indicates that "the lack of knowledge" is not the primary reason for the accumulation of technical debt from the selected code smells. The root causes are rather in factors like time pressure followed by issues related to software/hardware integration and incomplete refactoring as well as reuse of legacy, third party, or open source code.

  • 2.
    Al Mamun, Md Abdullah
    et al.
    Department of Computer Science and Engineering, Chalmers / University of Gothenburg, Sweden.
    Berger, Christian
    Department of Computer Science and Engineering, Chalmers / University of Gothenburg, Sweden.
    Hansson, Jörgen
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Effects of measurements on correlations of software code metrics2019In: Journal of Empirical Software Engineering, ISSN 1382-3256, E-ISSN 1573-7616, Vol. 24, no 4, p. 2764-2818Article in journal (Refereed)
    Abstract [en]

    Context

    Software metrics play a significant role in many areas in the life-cycle of software including forecasting defects and foretelling stories regarding maintenance, cost, etc. through predictive analysis. Many studies have found code metrics correlated to each other at such a high level that such correlated code metrics are considered redundant, which implies it is enough to keep track of a single metric from a list of highly correlated metrics.

    Objective

    Software is developed incrementally over a period. Traditionally, code metrics are measured cumulatively as cumulative sum or running sum. When a code metric is measured based on the values from individual revisions or commits without consolidating values from past revisions, indicating the natural development of software, this study identifies such a type of measure as organic. Density and average are two other ways of measuring metrics. This empirical study focuses on whether measurement types influence correlations of code metrics.

    Method

    To investigate the objective, this empirical study has collected 24 code metrics classified into four categories, according to the measurement types of the metrics, from 11,874 software revisions (i.e., commits) of 21 open source projects from eight well-known organizations. Kendall’s τ -B is used for computing correlations. To determine whether there is a significant difference between cumulative and organic metrics, Mann-Whitney U test, Wilcoxon signed rank test, and paired-samples sign test are performed.

    Results

    The cumulative metrics are found to be highly correlated to each other with an average coefficient of 0.79. For corresponding organic metrics, it is 0.49. When individual correlation coefficients between these two measure types are compared, correlations between organic metrics are found to be significantly lower (with p <0.01) than cumulative metrics. Our results indicate that the cumulative nature of metrics makes them highly correlated, implying cumulative measurement is a major source of collinearity between cumulative metrics. Another interesting observation is that correlations between metrics from different categories are weak.

    Conclusions

    Results of this study reveal that measurement types may have a significant impact on the correlations of code metrics and that transforming metrics into a different type can give us metrics with low collinearity. These findings provide us a simple understanding how feature transformation to a different measurement type can produce new non-collinear input features for predictive models.

  • 3.
    Andler, Sten F.
    et al.
    University of Skövde, Department of Computer Science.
    Hansson, Jörgen
    University of Skövde, Department of Computer Science.
    Eriksson, Joakim
    University of Skövde, Department of Computer Science.
    Mellin, Jonas
    University of Skövde, Department of Computer Science.
    Berndtsson, Mikael
    University of Skövde, Department of Computer Science.
    Eftring, Bengt
    University of Skövde, Department of Computer Science.
    DeeDS: Towards a Distributed and Active Real-Time Database Systems1996In: ACM Sigmod Record, Vol. 25, no 1, p. 38-40Article in journal (Refereed)
    Abstract [en]

    DeeDS combines active database functionality with critical timing constraints and integrated system monitoring. Since the reactive database mechanisms, or rule management system, must meet critical deadlines, we must employ methods that make triggering of rules and execution of actions predictable. We will focus on the scheduling issues associated with dynamic scheduling of workloads where the triggered transactions have hard, firm or soft deadlines, and how transient overloads may be resolved by substituting transactions by computationally cheaper ones. The rationale for a loosely coupled general purpose event monitoring facility, that works in tight connection with the scheduler, is presented. For performance and predictability, the scheduler and event monitor are executing on a separate CPU from the rest of the system. Real-time database accesses in DeeDS are made predictable and efficient by employing methods such as main memory resident data, full replication, eventual consistency, and prevention of global deadlocks.

  • 4.
    Antinyan, Vard
    et al.
    Department of Computer Science and Engineering, Chalmers University, Gothenburg, Sweden.
    Staron, Miroslaw
    Department of Computer Science and Engineering, Chalmers University, Gothenburg, Sweden.
    Derehag, Jesper
    Ericsson, Gothenburg, Sweden.
    Runsten, Mattias
    AB Volvo, Gothenburg, Sweden.
    Wikström, Erik
    Ericsson, Gothenburg, Sweden.
    Meding, Wilhelm
    Ericsson, Gothenburg, Sweden.
    Henriksson, Anders
    AB Volvo, Gothenburg, Sweden.
    Hansson, Jörgen
    University of Skövde, School of Informatics.
    Identifying Complex Functions: By Investigating Various Aspects of Code Complexity2015In: Proceedings of 2015 Science and Information Conference (SAI): July 28-30, 2015, London, United Kingdom, IEEE Press, 2015, p. 879-888Conference paper (Refereed)
    Abstract [en]

    The complexity management of software code has become one of the major problems in software development industry. With growing complexity the maintenance effort of code increases. Moreover, various aspects of complexity create difficulties for complexity assessment. The objective of this paper is to investigate the relationships of various aspects of code complexity and propose a method for identifying the most complex functions. We have conducted an action research project in two software development companies and complemented it with a study of three open source products. Four complexity metrics are measured, and their nature and mutual influence are investigated. The results and possible explanations are discussed with software engineers in industry. The results show that there are two distinguishable aspects of complexity of source code functions: Internal and outbound complexities. Those have an inverse relationship. Moreover, the product of them does not seem to be greater than a certain limit, regardless of software size. We present a method that permits identification of most complex functions considering the two aspects of complexities. The evaluation shows that the use of the method is effective in industry: It enables identification of 0.5% most complex functions out of thousands of functions for reengineering.

  • 5.
    Antinyan, Vard
    et al.
    Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden / Computer Science and Engineering, Chalmers, Gothenburg, Sweden.
    Staron, Miroslaw
    Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden / Computer Science and Engineering, Chalmers, Gothenburg, Sweden.
    Sandberg, Anna
    Ericsson, Sweden.
    Hansson, Jörgen
    University of Skövde, School of Informatics.
    A Complexity Measure for Textual Requirements2016In: Proceedings of the 26th International Workshop on Software Measurement (IWSM) and the 11th International Conference on Software Process and Product Measurement (Mensura) IWSM-Mensura 2016 / [ed] Jens Heidrich & Frank Vogelezang, IEEE, 2016, p. 148-158Conference paper (Refereed)
    Abstract [en]

    Unequivocally understandable requirements are vital for software design process. However, in practice it is hard to achieve the desired level of understandability, because in large software products a substantial amount of requirements tend to have ambiguous or complex descriptions. Over time such requirements decelerate the development speed and increase the risk of late design modifications, therefore finding and improving them is an urgent task for software designers. Manual reviewing is one way of addressing the problem, but it is effort-intensive and critically slow for large products. Another way is using measurement, in which case one needs to design effective measures. In recent years there have been great endeavors in creating and validating measures for requirements understandability: most of the measures focused on ambiguous patterns. While ambiguity is one property that has major effect on understandability, there is also another important property, complexity, which also has major effect on understandability, but is relatively less investigated. In this paper we define a complexity measure for textual requirements through an action research project in a large software development organization. We also present its evaluation results in three large companies. The evaluation shows that there is a significant correlation between the measurement values and the manual assessment values of practitioners. We recommend this measure to be used with earlier created ambiguity measures as means for automated identification of complex specifications.

  • 6.
    Berndtsson, Mikael
    et al.
    University of Skövde, Department of Computer Science.
    Hansson, JörgenUniversity of Skövde, Department of Computer Science.
    Active and Real-Time Database Systems (ARTDB-95): Proceedings of the First International Workshop on Active and Real-Time Database Systems, Skövde, Sweden, 9–11 June 19951996Conference proceedings (editor) (Refereed)
  • 7.
    Berndtsson, Mikael
    et al.
    University of Skövde, Department of Computer Science.
    Hansson, Jörgen
    University of Skövde, Department of Computer Science.
    Issues in Active Real-Time Databases1996In: Active and Real-Time Database Systems (ARTDB-95): Proceedings of the First International Workshop on Active and Real-Time Database Systems, Skövde, Sweden, 9–11 June 1995 / [ed] Mikael Berndtsson, Jörgen Hansson, London: Springer, 1996, p. 142-157Conference paper (Refereed)
    Abstract [en]

    Active databases and real-time databases have gained increased interest in recent. Both active and real-time databases are considered as important technologies for supporting non-traditional applications such as computer integrated manufacturing (CIM), process control and air-traffic control. These applications are often event driven and need to react to events in a timely and efficient manner. In this paper we address the problem of merging active databases and real-time databases. Active real-time database is a fairly new area, in which very little research has been carried out so far. However, the use of active real-time database applications has a great potential. In this paper we address several issues and open questions such as semantics, assignment of time constraints and rule selection, which need to be considered when designing active real-time databases.

  • 8.
    Berndtsson, Mikael
    et al.
    University of Skövde, Department of Computer Science.
    Hansson, Jörgen
    University of Skövde, Department of Computer Science.
    Time is the Shadow of Reactive Behaviour2000In: Proceedings 2000 International Database Engineering and Applications Symposium / [ed] Bipin C. Desai, Yasuhi Kiyoki, Motomichi Toyama, Piscataway, NJ: IEEE, 2000, p. 417-423Conference paper (Refereed)
    Abstract [en]

    Applications that rely on coordination of messages are frequently based on multi-agent systems or workflow systems. Both implementation platforms use a rule engine for the coordination of messages. Currently, classical production rules are used within multi-agent systems, and workflow systems tend to rely on active database solutions (i.e. triggers). It has been envisioned that subsequent application generations are likely to require support for hundreds or even thousands of triggers. This is in contrast to the current state-of-the-art of implementations, which only scale to a few triggers. The paper outlines a vision where a scalable trigger system is the unifying concept between workflow and multi-agent approaches for applications that require coordination facilities. In particular, the paper defines scalability and performance within an active database context. The paper explores factors and situations that influence active database performance. Finally, the paper explores promising directions for how to move the state-of-the-art to trigger systems that scale to many triggers.

  • 9.
    Berndtsson, Mikael
    et al.
    University of Skövde, Department of Computer Science.
    Hansson, Jörgen
    University of Skövde, Department of Computer Science.
    Workshop Report: The First International Workshop on Active and Real-Time Database Systems (ARTDB-95)1996In: SIGMOD record, ISSN 0163-5808, E-ISSN 1943-5835, Vol. 25, no 1, p. 64-66Article in journal (Refereed)
    Abstract [en]

    This report is a summary of the First International Workshop on Active and Real-Time Database Systems (ARTDB-95) [1], held at the University of Skövde in June 1995. The workshop brought together researchers and practitioners from both the active database community and the real-time database community. The major aims of ARTDB-95 were to identify motivations, problems and requirements when combining active and real-time capabilities.

  • 10.
    Berndtsson, Mikael
    et al.
    University of Skövde, School of Humanities and Informatics.
    Hansson, Jörgen
    Software Engineering Institute, Carnegie Mellon University, Pittsburgh , PA, USA.
    Olsson, Björn
    University of Skövde, School of Humanities and Informatics.
    Lundell, Björn
    University of Skövde, School of Humanities and Informatics.
    Thesis projects: A guide for students in computer science and information systems2008 (ed. 2)Book (Other academic)
  • 11.
    Durisic, Darko
    et al.
    Volvo Car Group, Göteborg, Sweden.
    Staron, Miroslaw
    Chalmers University of Technology, Göteborg, Sweden / University of Gothenburg, Göteborg, Sweden.
    Tichy, Matthias
    Ulm University, Germany.
    Hansson, Jörgen
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Assessing the impact of meta-model evolution: a measure and its automotive application2019In: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374, Vol. 18, no 2, p. 1419-1445Article in journal (Refereed)
    Abstract [en]

    Domain-specific meta-models play an important role in the design of large software systems by defining language for the architectural models. Such common modeling languages are particularly important if multiple actors are involved in the development process as they assure interoperability between modeling tools used by different actors. The main objective of this paper is to facilitate the adoption of new domain-specific meta-model versions, or a subset of the new architectural features they support, by the architectural modeling tools used by different actors in the development of large software systems. In order to achieve this objective, we developed a simple measure of meta-model evolution (named NoC-Number of Changes) that captures atomic modification between different versions of the analyzed meta-model. We evaluated the NoC measure on the evolution of the AUTOSAR meta-model, a domain-specific meta-model used in the design of automotive system architectures. The evaluation shows that the measure can be used as an indicator of effort needed to update meta-model-based tools to support different actors in modeling new architectural features. Our detailed results show the impact of 14 new AUTOSAR features on the modeling tools used by the main actors in the automotive development process. We validated our results by finding a significant correlation between the results of the NoC measure and the actual effort needed to support these features in the modeling tools reported by the modeling practitioners from four AUTOSAR tool vendors and the AUTOSAR tooling team at Volvo Cars. Generally, our study shows that quantitative analysis of domain-specific meta-model evolution using a simple measure such as NoC can be used as an indicator of the required updates in the meta-model-based tools that are needed to support new meta-model versions. However, our study also shows that qualitative analysis that may include an inspection of the actual meta-model changes is needed for more accurate assessment.

  • 12.
    Liebel, Grischa
    et al.
    Software Engineering Division, Chalmers / University of Gothenburg, Sweden.
    Marko, Nadja
    Virtual Vehicle Research Center, Graz, Austria.
    Tichy, Matthias
    Software Engineering Division, Chalmers / University of Gothenburg, Sweden.
    Leitner, Andrea
    Virtual Vehicle Research Center, Graz, Austria.
    Hansson, Jörgen
    University of Skövde, School of Informatics.
    Assessing the state-of-practice of model-based engineering in the embedded systems domain2014In: Model-Driven Engineering Languages and Systems: 17th International Conference, MODELS 2014, Valencia, Spain, September 28 – October 3, 2014. Proceedings / [ed] Juergen Dingel, Wolfram Schulte, Isidro Ramos, Silvia Abrahão, Emilio Insfran, Springer, 2014, p. 166-182Conference paper (Refereed)
    Abstract [en]

    Abstract Model-Based Engineering (MBE) aims at increasing the effectiveness of engineering by using models as key artifacts in the development process. While empirical studies on the use and the effects of MBE in industry exist, there is only little work targeting the embedded systems domain. We contribute to the body of knowledge with a study on the use and the assessment of MBE in that particular domain. We collected quantitative data from 112 subjects, mostly professionals working with MBE, with the goal to assess the ...

  • 13.
    Liebel, Grischa
    et al.
    Software Engineering Division, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
    Marko, Nadja
    Virtual Vehicle Research Center, Graz, Austria.
    Tichy, Matthias
    Institute of Software Engineering, University of Ulm, Ulm, Germany.
    Leitner, Andrea
    Virtual Vehicle Research Center, Graz, Austria.
    Hansson, Jörgen
    University of Skövde, School of Informatics.
    Model-based engineering in the embedded systems domain: an industrial survey on the state-of-practice2018In: Software and Systems Modeling, ISSN 1619-1366, E-ISSN 1619-1374, Vol. 17, no 1, p. 91-113Article in journal (Refereed)
    Abstract [en]

    Model-based engineering (MBE) aims at increasing the effectiveness of engineering by using models as important artifacts in the development process. While empirical studies on the use and the effects of MBE in industry exist, only few of them target the embedded systems domain. We contribute to the body of knowledge with an empirical study on the use and the assessment of MBE in that particular domain. The goal of this study is to assess the current state-of-practice and the challenges the embedded systems domain is facing due to shortcomings with MBE. We collected quantitative data from 113 subjects, mostly professionals working with MBE, using an online survey. The collected data spans different aspects of MBE, such as the used modeling languages, tools, notations, effects of MBE introduction, or shortcomings of MBE. Our main findings are that MBE is used by a majority of all participants in the embedded systems domain, mainly for simulation, code generation, and documentation. Reported positive effects of MBE are higher quality and improved reusability. Main shortcomings are interoperability difficulties between MBE tools, high training effort for developers and usability issues. Our study offers valuable insights into the current industrial practice and can guide future research in the fields of systems modeling and embedded systems.

  • 14.
    Mellin, Jonas
    et al.
    University of Skövde, Department of Computer Science.
    Hansson, Jörgen
    University of Skövde, Department of Computer Science.
    Andler, Sten F.
    University of Skövde, Department of Computer Science.
    Refining Design Constraints using a System Services Model of a Real-Time DBMS1995Report (Other academic)
    Abstract [en]

    In the DeeDS prototype, active database functionality and critical timing constraints are combined with integrated monitoring techniques. In the scope of DeeDS, this paper presents a mathematical model which is used to derive two important design constraints; worst-case minimum delay and maximum frequency of events. This model is based on a dual-processor hybrid-monitoring solution. Furthermore, different interaction styles between the scheduler and the event monitor are evaluated.

  • 15.
    Olsson, Björn
    et al.
    University of Skövde, Department of Computer Science.
    Berndtsson, Mikael
    University of Skövde, Department of Computer Science.
    Lundell, Björn
    University of Skövde, Department of Computer Science.
    Hansson, Jörgen
    Linköping University, Linköping, Sweden.
    Running research-oriented final year projects for CS and IS students2003In: SIGCSE '03: Proceedings of the 34th SIGCSE technical symposium on Computer science education, ACM Special Interest Group on Computer Science Education, 2003, p. 79-83Conference paper (Refereed)
    Abstract [en]

    In this paper we discuss the difficulties of designing and running a final year project course for computer science and information systems students. In particular, we present the design of a research-oriented final year project course, where the aim is to develop the student's critical thinking and research skills. We also discuss the lessons learnt during the seven years that the course has been given.

  • 16.
    Rana, Rakesh
    et al.
    Department of Computer Science & Engineering, Chalmers, University of Gothenburg, Göteborg, Sweden.
    Staron, Miroslaw
    Department of Computer Science & Engineering, Chalmers, University of Gothenburg, Göteborg, Sweden.
    Berger, Christian
    Department of Computer Science & Engineering, Chalmers, University of Gothenburg, Göteborg, Sweden.
    Hansson, Jörgen
    University of Skövde, School of Informatics.
    Nilsson, Martin
    Volvo Car Group, Göteborg, Sweden.
    Meding, Wilhelm
    Ericsson SW Research, Ericsson AB, Gothenburg, Sweden.
    Analyzing defect inflow distribution and applying Bayesian inference method for software defect prediction in large software projects2016In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 117, p. 229-244Article in journal (Refereed)
    Abstract [en]

    Tracking and predicting quality and reliability is a major challenge in large and distributed software development projects. A number of standard distributions have been successfully used in reliability engineering theory and practice, common among these for modeling software defect inflow being exponential, Weibull, beta and Non-Homogeneous Poisson Process (NHPP). Although standard distribution models have been recognized in reliability engineering practice, their ability to fit defect data from proprietary and OSS software projects is not well understood. Lack of knowledge about underlying defect inflow distribution also leads to difficulty in applying Bayesian based inference methods for software defect prediction. In this paper we explore the defect inflow distribution of total of fourteen large software projects/release from two industrial domain and open source community. We evaluate six standard distributions for their ability to fit the defect inflow data and also assess which information criterion is practical for selecting the distribution with best fit. Our results show that beta distribution provides the best fit to the defect inflow data for all industrial projects as well as majority of OSS projects studied. In the paper we also evaluate how information about defect inflow distribution from historical projects is applied for modeling the prior beliefs/experience in Bayesian analysis which is useful for making software defect predictions early during the software project lifecycle.

  • 17.
    Rana, Rakesh
    et al.
    Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden.
    Staron, Miroslaw
    Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden.
    Berger, Christian
    Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden.
    Hansson, Jörgen
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. Computer Science & Engineering, Chalmers/University of Gothenburg, Göteborg, Sweden.
    Nilsson, Martin
    Volvo Car Corporation, Göteborg, Sweden.
    Törner, Fredrik
    Volvo Car Corporation, Göteborg, Sweden.
    Meding, Wilhelm
    Ericsson, Göteborg, Sweden.
    Höglund, Christoffer
    SAAB AB, Göteborg, Sweden.
    Selecting software reliability growth models and improving their predictive accuracy using historical projects data2014In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 98, p. 59-78Article in journal (Refereed)
    Abstract [en]

    During software development two important decisions organizations have to make are: how to allocate testing resources optimally and when the software is ready for release. SRGMs (software reliability growth models) provide empirical basis for evaluating and predicting reliability of software systems. When using SRGMs for the purpose of optimizing testing resource allocation, the model's ability to accurately predict the expected defect inflow profile is useful. For assessing release readiness, the asymptote accuracy is the most important attribute. Although more than hundred models for software reliability have been proposed and evaluated over time, there exists no clear guide on which models should be used for a given software development process or for a given industrial domain. Using defect inflow profiles from large software projects from Ericsson, Volvo Car Corporation and Saab, we evaluate commonly used SRGMs for their ability to provide empirical basis for making these decisions. We also demonstrate that using defect intensity growth rate from earlier projects increases the accuracy of the predictions. Our results show that Logistic and Gompertz models are the most accurate models; we further observe that classifying a given project based on its expected shape of defect inflow help to select the most appropriate model. (C) 2014 Elsevier Inc. All rights reserved.

  • 18.
    Staron, Mirolaw
    et al.
    University of Gothenburg.
    Hansson, JörgenUniversity of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.Bosch, JanChalmers University of Technology.
    Performance in software development – Special issue editorial2014Collection (editor) (Other academic)
  • 19.
    Staron, Miroslaw
    et al.
    University of Gothenburg.
    Hansson, Jörgen
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Bosch, Jan
    Chalmers University of Technology.
    Performance in software development – Special issue editorial2014In: Information and Software Technology, ISSN 0950-5849, E-ISSN 1873-6025, Vol. 56, no 5, p. 463-464p. 463-464Article in journal (Refereed)
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