| 1. |
- Johansson, Ludvig, et al.
(författare)
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An Industrial Case Study on Visualization of Dependencies between Software Measurements
- 2007
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Ingår i: 7th Conference on Software Engineering Research and Practice in Sweden. - 1654-4870. ; 1:2007:02, s. 23-33
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Konferensbidrag (refereegranskat)abstract
- Managing large software projects requires working with a large set of measurements to plan, monitor, and control the projects. The measurements can, and usually are, related to each other which raise an issue of efficiently managing the measurements by identifying, quantifying, and comparing dependencies between measurements within a project or between projects. This paper presents a case study performed at one of the units of Ericsson. The case study was designed to elicit and evaluate viable methods for visualizing dependencies between software measurements from a perspective of project and quality managers. By developing a series of prototypes, and evaluating them in interviews, we get results showing applicability of each visualization method in the context of the studied organization. The prototypes were used to visualize correlation coefficients, distribution dependencies, and project differences. The results show that even simple methods could significantly improve the work of quality managers and make the work with measurements more efficient in the organization.
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| 2. |
- Meding, Wilhelm, et al.
(författare)
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The Role of Design and Implementation Models in Establishing Mature Measurement Programs
- 2009
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Ingår i: 7th Nordic workshop on Model Driven Engineering/ Tampere University of Technology research report. - 1797-836X. - 9789521522123 ; 2009:5, s. 284-299
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Konferensbidrag (refereegranskat)abstract
- Adoption of Model Driven Engineering is often caused by industrial needs for increased productivity and/or effective communication within teams and with the customers (thus leading to improved quality of the final products). Introducing measurement programs into large organizations, like Ericsson, can benefit from using models in order to overcome difficulties with establishing a common understanding of software metrics. Using automated transformations of domain-specific modeling of measurement systems (systems used to collect, analyze and present metric data) can decrease the time required to develop customized measurement systems for project, product and line managers. In this paper we present a set of experiences how introducing models and Model Driven Engineering led to decreased development time of measurement systems (by the factor of 2), establishment of mature metric culture in the organization and contributed to large-scale spread of metric programs
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| 3. |
- Staron, Miroslaw, 1977, et al.
(författare)
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A framework for developing measurement systems and its industrial evaluation
- 2009
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Ingår i: Information and Software Technology. ; 51:April, s. 721-737
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Tidskriftsartikel (refereegranskat)abstract
- As in every engineering discipline, metrics play an important role in software development, with the difference that almost all software projects need the customization of metrics used. In other engineering disciplines, the notion of a measurement system (i.e. a tool used to collect, calculate, and report quantitative data) is well known and defined, whereas it is not as widely used in software engineering. In this paper we present a framework for developing custom measurement systems and its industrial evaluation in a software development unit within Ericsson. The results include the framework for designing measurement systems and its evaluation in real life projects at the company. The results show that with the help of ISO/IEC standards, measurement systems can be effectively used in software industry and that the presented framework improves the way of working with metrics. This paper contributes with the presentation of how automation of metrics collection and processing can be successfully introduced into a large organization and shows the benefits of it: increased efficiency of metrics collection, increased adoption of metrics in the organization, independence from individuals and standardized nomenclature for metrics in the organization.
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| 4. |
- Staron, Miroslaw, 1977, et al.
(författare)
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A Modeling Language for Specifying and Visualizing Measurement Systems for Software Metr ics
- 2009
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Ingår i: Tampere University of Technology research report, Nordic workhop on MDE. - 1797-836X. - 9789521522123 ; 2009:5, s. 300-315
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Konferensbidrag (refereegranskat)abstract
- Using metrics in software engineering usually entails developing custom measurement systems dedicated for particular stakeholders (project, product, and line managers). As processes for collecting, analyzing and presenting metrics are usually not the main goal of software development companies, these processes should be as efficient as possible and so should be the development of measurement systems. In this paper we present a domain specific modeling language for modeling and developing measurement systems which makes the processes efficient. The efficiency is achieved by automatically generating measurement systems from the models of metrics (used when identifying important metrics together with stakeholders). The language has been successfully applied in industry and its use lead to significant productivity improvements when developing measurement systems at Ericsson. By providing the possibility of using either formalized language in MS Visual Studio or an informal notation in MS PowerPoint (reducing the need for specialized training) the language contributed to spreading the metric culture in the organization.
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| 5. |
- Staron, Miroslaw, 1977, et al.
(författare)
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Ensuring Reliability of Information Provided by Measurement Systems
- 2009
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Ingår i: Software Process and Product Measurement. - Berlin, Heidelberg : Springer Berlin Heidelberg. ; , s. 1-16
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Konferensbidrag (refereegranskat)abstract
- Controlling the development of large and complex software is usually done in a quantitative manner using software metrics as the foundation for decision making. Large projects usually collect large amounts of metrics although present only a few key ones for daily project, product, and organization monitoring. The process of collecting, analyzing and presenting the key information is usually supported by automated measurement systems. Since in this process there is a transition from a lot of information (data) to a small number of indicators (metrics with decision criteria), the usual question which arises during discussions with managers is whether the stakeholders can “trust” the indicators w.r.t. the correctness of information and its timeliness. In this paper we present a method for addressing this question by assessing information quality for ISO/IEC 15939-based measurement systems. The method is realized and used in measurement systems at one of the units of Ericsson. In the paper, we also provide a short summary of the evaluation of this method through its use at Ericsson.
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| 6. |
- Staron, Miroslaw, 1977, et al.
(författare)
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Predicting Monthly Defect Inflow in Large Software Projects – An Industrial Case Study
- 2007
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Ingår i: Industry Track Proceedings of the 27 International Symposium on Software Reliability Engineering. ; , s. 23-30
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Konferensbidrag (refereegranskat)abstract
- One of the main aspects considered during planning of large software projects is the defect inflow. The curve of the defect inflow shows what potentially can happen if no counter measures are taken in the project. The curve can support project and quality managers in taking decisions, in order to meet some of the required quality objectives. This paper presents a method for constructing prediction models of a monthly defect inflow for the duration of an entire project. The projects, which we construct the models for, are large software projects at Ericsson, which are structured around a significant number of work packages, which incrementally deliver new functionality for embedded software in a network node. The presented method is based on using similarity of projects for estimations and regression techniques, which result in equations describing defect inflow in a project. The independent variable in the equation is the month of the project. The method results in creating prediction models which we evaluate in two on-going projects by comparing them to existing practices at Ericsson and alternative ways of constructing the models. The method is intended to be simple and allows adjusting the models as the project progresses. The results from these two projects show that the accuracy of predictions is higher for the models developed using our method than for such models as the Rayleigh model.
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| 7. |
- Staron, Miroslaw, 1977, et al.
(författare)
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Predicting Weekly Defect Inflow in Large Software Projects based on Project Planning and Test Status
- 2008
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Ingår i: Information and Software Technology. - : Elsevier BV. - 0950-5849. ; 50:7-8, s. 782-796
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Tidskriftsartikel (refereegranskat)abstract
- Defects discovered during the testing phase in software projects need to be removed before the software is shipped to the customers. The removal of defects can constitute a significant amount of effort in a project and project managers are faced with a decision whether to continue development or shift some resources to cope with defect removal. The goal of this research is to improve the practice of project management by providing a method for predicting the number of defects reported into the defect database in the project. In this paper we present a method for predicting the number of defects reported into the defect database in a large software project on a weekly basis. The method is based on using project progress data, in particular the information about the test progress, to predict defect inflow in the next three coming weeks. The results show that the prediction accuracy of our models is up to 72% (mean magnitude of relative error for predictions of one week in advance is 28%) when used in ongoing large software projects. The method is intended to support project managers in more accurate adjusting resources in the project, since they are notified in advance about the potentially large effort needed to correct defects.
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| 8. |
- Staron, Miroslaw, 1977, et al.
(författare)
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Short-term defect inflow prediction in large software project - an initial evaluation
- 2007
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Ingår i: International Conference on Empirical Assessment in Software Engineering (EASE). ; 2007:1, s. 18-27
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Konferensbidrag (refereegranskat)abstract
- Predicting a defect inflow is important for project planning and monitoring purposes. For project planning purposes and for quality management purposes, an important measure is the trend of defect inflow in the project – i.e. how many defects are reported in a particular stage of the project. Predicting the defect inflow provides a mechanism of early notification whether the project is going to meet the set goals or not. In this paper we present and evaluate a method for predicting defect inflow for large software projects: a method for short-term predictions for up to three weeks in advance on a weekly basis. The contribution of this paper is the fact that our model is based on the data from project planning, status monitoring, and current trends of defect inflow and produces results applicable for large projects. The method is evaluated by comparing it to existing defect inflow prediction practices (e.g. expert estimations) at one of the large projects at Ericsson. The results show that the method provides more accurate predictions (in most cases) while decreasing the time required for constructing the predictions using current practices in the company.
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| 9. |
- Staron, Miroslaw, 1977, et al.
(författare)
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Using Models to Develop Measurement Systems: A Method and Its Industrial Use
- 2009
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Ingår i: International Conferences IWSM 2009 and Mensura 2009. ; 5891/2009, s. 212-226
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Konferensbidrag (refereegranskat)abstract
- Making the measurement processes work in large software development organizations requires collecting right metrics and collecting them automatically. Collecting the right metrics requires development custom measurement systems which fulfill the actual needs of the company. Effective communication between stakeholders (persons who have the information needs) and the designers of measurement systems are cornerstones in identifying the right metrics and the right amount of them. In this paper we describe a method for developing measurement systems based on models which make this communication more effective. The method supports the designers of measurement systems and managers, for whom the measurement systems are created, in developing more effective measurement systems based on MS Excel. The method comprises of platform independent modeling, platform specific modeling and automated code generation. This method has been used in one of action research projects at Ericsson. We present the results of the evaluation of this method at Ericsson by the end of this paper.
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