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Publications (10 of 53) Show all publications
Edoff, P., Norström, C. & Wretås, Y. (2012). Managing offshore development: a cultural perspective. In: Alexander Brem & Joe Tidd (Ed.), Series on technology management - Vol. 18: Perspectives on supplier innovation: theories, concepts and empirical insights on open innovation and the integration of suppliers (pp. 549-580). United States: Imperial College Press
Open this publication in new window or tab >>Managing offshore development: a cultural perspective
2012 (English)In: Series on technology management - Vol. 18: Perspectives on supplier innovation: theories, concepts and empirical insights on open innovation and the integration of suppliers / [ed] Alexander Brem & Joe Tidd, United States: Imperial College Press , 2012, p. 549-580Chapter in book (Other academic)
Place, publisher, year, edition, pages
United States: Imperial College Press, 2012
National Category
Engineering and Technology
Identifiers
urn:nbn:se:mdh:diva-22893 (URN)13978-1-84816-899-2 (ISBN)
Available from: 2013-11-20 Created: 2013-11-19 Last updated: 2014-02-18Bibliographically approved
Lu, Y., Nolte, T., Bate, I., Kraft, J. & Norström, C. (2011). Assessment of trace-differences in timing analysis for Complex Real-Time Embedded Systems. In: SIES 2011 - 6th IEEE International Symposium on Industrial Embedded Systems, Conference Proceedings: . Paper presented at 6th IEEE International Symposium on Industrial Embedded Systems, SIES 2011; Västerås; Sweden; 15 June 2011 through 17 June 2011 (pp. 284-293).
Open this publication in new window or tab >>Assessment of trace-differences in timing analysis for Complex Real-Time Embedded Systems
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2011 (English)In: SIES 2011 - 6th IEEE International Symposium on Industrial Embedded Systems, Conference Proceedings, 2011, p. 284-293Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we look at identifying temporal differences between different versions of Complex Real-Time Embedded Systems (CRTES) by using timing traces representing response times and executiontimes of tasks. In particular, we are interested in being able to reason about whether a particular change to CRTES will impact on their temporal performance, which is difficult to answer due to the complicatedtiming behavior such CRTES have. To be specific, we first propose a sampling mechanism to eliminate dependencies existing in tasks' response time and execution time data in the traces taken from CRTES, which makes any statistical inference in probability theory and statistics realistic. Next, we use a mature statistical method, i.e., the non-parametric two-sample Kolmogorov-Smirnov test, to assess the possible temporal differences between different versions of CRTES by using timing traces. Moreover, we introduce a method of reducing the number of samples used in the analysis, while keeping the accuracy ofanalysis results. This is not trivial, as collecting a large amount of samples in terms of executing real systems is often costly. Our evaluation using simulation models describing an industrial robotic controlsystem with complicated tasks' timing behavior, indicates that the proposed method can successfully identify temporal differences between different versions of CRTES, if there is any. Furthermore, our proposed method outperforms the other statistical methods, e.g., bootstrap and permutation tests, that are often widely used in contexts, in terms of bearing on the accuracy of results when other methods have failed.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:mdh:diva-23813 (URN)10.1109/SIES.2011.5953672 (DOI)2-s2.0-80052009194 (Scopus ID)9781612848204 (ISBN)
Conference
6th IEEE International Symposium on Industrial Embedded Systems, SIES 2011; Västerås; Sweden; 15 June 2011 through 17 June 2011
Available from: 2013-12-27 Created: 2013-12-19 Last updated: 2014-02-13Bibliographically approved
Cedergren, S., Norström, C. & Wall, A. (2011). PMEX: A Performance Measurement Evaluation Matrix For The Development Of Industrial Software-Intensive Products. International Journal of Innovation and Technology Management (IJITM), 8(1), 55-76
Open this publication in new window or tab >>PMEX: A Performance Measurement Evaluation Matrix For The Development Of Industrial Software-Intensive Products
2011 (English)In: International Journal of Innovation and Technology Management (IJITM), ISSN 0219-8770, ISSN 0219-8770, Vol. 8, no 1, p. 55-76Article in journal (Refereed) Published
Abstract [en]

The ability to measure performance is both fundamental to and critical in successful product development. Previous research has focused on adding new measurements, not on evaluating those currently used. The PMEX is a tool to evaluate the performance-measurement system based on success factors in the development of software-intensive products. Three case studies have been conducted to test the PMEX and the results indicate that the PMEX enables managers to determine explicitly what is and what is not measured. Time, cost and quality seem to be the focus of the performance measurements while technology and planning activities are absent.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:mdh:diva-9118 (URN)10.1142/S0219877011002222 (DOI)2-s2.0-84899879517 (Scopus ID)
Available from: 2010-03-03 Created: 2010-03-03 Last updated: 2017-12-12Bibliographically approved
Cedergren, S., Wall, A. & Norström, C. (2010). A Performance Evaluation Framework for Innovation a chapter in Innovation in Business and Enterprise: Technologies and Frameworks. In: Innovation in Business and Enterprise: Technologies and Frameworks (pp. 135-149). IGI Global
Open this publication in new window or tab >>A Performance Evaluation Framework for Innovation a chapter in Innovation in Business and Enterprise: Technologies and Frameworks
2010 (English)In: Innovation in Business and Enterprise: Technologies and Frameworks, IGI Global, 2010, p. 135-149Chapter in book (Other academic)
Abstract [en]

This chapter presents a framework for a conceptual evaluation of the performance of industrial product innovation activities. The framework promotes a holistic view of performance by considering three categories of activities: Planning, Implementation, and Sales and Delivery. Successful performance evaluation comes from acknowledging the fact that there are different objectives for each of the three activity categories. Moreover, performance may be expressed as a function of the performance of the Planning, the Implementation, and the Sales and Delivery activities. In this chapter the results of research involving seven large companies in Sweden, with the objective of improving the understanding of what is required to be successful when developing complex industrial products, are presented. Key factors for success as well as some general conclusions are discussed.

Place, publisher, year, edition, pages
IGI Global, 2010
National Category
Engineering and Technology
Identifiers
urn:nbn:se:mdh:diva-9022 (URN)10.4018/978-1-61520-643-8.ch010 (DOI)2-s2.0-84895930159 (Scopus ID)9781615206438 (ISBN)
Available from: 2010-03-03 Created: 2010-03-03 Last updated: 2016-05-17Bibliographically approved
Lu, Y., Kraft, J., Nolte, T. & Norström, C. (2010). A Statistical Approach for Validation of Task Simulation Models with Intricate Temporal Execution Dependencies. In: Proceedings of the Work-In-Progress (WIP) track of 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS2010): . Paper presented at 16th IEEE Real-Time and Embedded Technology and Applications Symposium, Stockholm, Sweden, April 12 - 15, 2010.
Open this publication in new window or tab >>A Statistical Approach for Validation of Task Simulation Models with Intricate Temporal Execution Dependencies
2010 (English)In: Proceedings of the Work-In-Progress (WIP) track of 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS2010), 2010Conference paper, Published paper (Refereed)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:mdh:diva-9345 (URN)
Conference
16th IEEE Real-Time and Embedded Technology and Applications Symposium, Stockholm, Sweden, April 12 - 15, 2010
Available from: 2010-03-03 Created: 2010-03-03 Last updated: 2014-05-16Bibliographically approved
Lu, Y., Nolte, T., Kraft, J. & Norström, C. (2010). A Statistical Approach to Response-Time Analysis of Complex Real-Time Embedded Systems. In: Proceedings of the 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2010). Paper presented at 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2010) (pp. 153-160).
Open this publication in new window or tab >>A Statistical Approach to Response-Time Analysis of Complex Real-Time Embedded Systems
2010 (English)In: Proceedings of the 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2010), 2010, p. 153-160Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents RapidRT, a novel statistical approach to Worst-Case Response-Time (WCRT) analysis targeting complex embedded real-time systems. The proposed algorithm combines Extreme Value Theory (EVT) and other statistical methods in order to produce a probabilistic WCRT estimate. This estimate is calculated using response time data from either Monte Carlo simulations of a detailed model of the system, or from response-time measurements of the real system. The method could be considered as a pragmatic approach intended for complex industrial systems with real-time requirements. The target systems contain tasks with many intricate dependencies in theirtemporal behavior, which violates the assumptions of traditional analytical methods for response time analysis and thereby makes them overly pessimistic. An evaluation ispresented using two simulation models, inspired by an industrial robotic control system, and five other methods as reference.

Research subject
Computer Science; Computer Science
Identifiers
urn:nbn:se:mdh:diva-10323 (URN)
Conference
16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2010)
Projects
PROGRESS
Note
©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEAvailable from: 2010-09-21 Created: 2010-09-21 Last updated: 2013-12-03Bibliographically approved
Lu, Y., Nolte, T., Kraft, J. & Norström, C. (2010). A Statistical Approach to Simulation Model Validation in Timing Analysis of Complex Real-Time Embedded Systems. In: Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010: . Paper presented at 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010; Macau; China; 23 August 2010 through 25 August 2010; Category numberP4155; Code 82350. Brussels, Article ID 5591317.
Open this publication in new window or tab >>A Statistical Approach to Simulation Model Validation in Timing Analysis of Complex Real-Time Embedded Systems
2010 (English)In: Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010, Brussels, 2010, p. -160, article id 5591317Conference paper, Published paper (Refereed)
Abstract [en]

Simulation-based analysis methods make few restrictions on the system design and scale to very large and complex systems, therefore they are widely used in timing analysis of complex industrial embedded systems. This paper presents a statistical approach to validation of temporal simulation models extracted from complex embedded systems, by introducing existing mature statistical methods to the context. The proposed approach firstly collects sampling distributions of response time and execution time data of tasks in both the modeled system and the model, based on simple random samples (SRS). The second step of the approach is to compare the sampling distributions, regarding interesting timing properties, by using the non-parametric two-sample Kolmogorov-Smirnov test. The evaluation using a fictive system model inspired by a real robotic control system with a set of change scenarios, shows a promising result. The proposed algorithm can identify temporal differences between the target system and its extracted model, i.e., the algorithm can assess whether the extracted model is a sufficiently accurate approximation of the target system.

Place, publisher, year, edition, pages
Brussels: , 2010
Identifiers
urn:nbn:se:mdh:diva-11070 (URN)2-s2.0-78449277276 (Scopus ID)
Conference
16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010; Macau; China; 23 August 2010 through 25 August 2010; Category numberP4155; Code 82350
Available from: 2010-11-12 Created: 2010-11-12 Last updated: 2019-01-29Bibliographically approved
Cedergren, S., Wall, A. & Norström, C. (2010). Challenges with Evaluating Performance in Product Development. In: 17TH INTERNATIONAL PRODUCT DEVELOPMENT MANAGEMENT CONFERENCE. Murcia, Spain
Open this publication in new window or tab >>Challenges with Evaluating Performance in Product Development
2010 (English)In: 17TH INTERNATIONAL PRODUCT DEVELOPMENT MANAGEMENT CONFERENCE, Murcia, Spain, 2010Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this paper is to from a managerial perspective investigate performance evaluation practices in a product development context. The focus is on exploring how managers perceive and evaluate performance in a software-intensive product development context. The research approach pursued in this research consist of a literature review combined with focused group interviews and exploratory multiple case studies. Moreover, a number of seminars have been held to discuss the findings both in academia and in practice. The result of this research indicates that product development managers are dissatisfied with their current way of evaluating performance. Performance measurements and the perception of performance are focused on cost, time and quality, i.e. what is easily measurable and not necessarily what is important. The dimensions of value creations and learning are missing. It is argued that manager perception of performance is affected by how it is measured, hence limiting the scope of the performance criteria. Thus, a change in the way managers perceive performance is necessary before there can be any change in the way performance is evaluated. Managers within product development that are dissatisfied with their performance measurement system should focus on how the organization perceive performance. By developing relevant performance criteria the first step in developing an effective performance evaluation system is made.

Place, publisher, year, edition, pages
Murcia, Spain: , 2010
Identifiers
urn:nbn:se:mdh:diva-10930 (URN)
Available from: 2010-11-10 Created: 2010-11-10 Last updated: 2013-12-03Bibliographically approved
Cedergren, S., Wall, A. & Norström, C. (2010). Evaluation of performance in a product development context. Business Horizons, 53(4), 359-369
Open this publication in new window or tab >>Evaluation of performance in a product development context
2010 (English)In: Business Horizons, ISSN 0007-6813, E-ISSN 1873-6068, Vol. 53, no 4, p. 359-369Article in journal (Refereed) Published
Abstract [en]

In today's competitive environment the need to deploy product-development investments more effectively is greater than ever. To assist managers, two conceptual tools have been developed to support the evaluation of performance in product development. The Performance Measurement Evaluation Matrix (PMEX) presented here helps managers evaluate performance-measurement systems they currently use, in order to identify areas requiring improvement. Results from using the PMEX indicate that it is common to associate performance measurements with the efficiency aspects of time, cost, and quality, without monitoring the value created. Performance is largely perceived by managers in terms of time, cost, and quality of the activities in the later phases of the development process. We argue that an effective performance-measurement system is based on performance criteria and then derive measurements based on these. It is argued that there should be a change in the perception of performance before performance-evaluation systems can be improved. The Product Development Organizational Model (PDOPM) assists in developing the perception of performance by relating uncertainty, efficiency and effectiveness at three generic activity levels within the product-development function. The use of our tools provides an improved perception of performance and its measurement, thus enabling improvements to the evaluation of performance.

Identifiers
urn:nbn:se:mdh:diva-9341 (URN)10.1016/j.bushor.2010.03.001 (DOI)000286777600004 ()2-s2.0-77953686477 (Scopus ID)
Available from: 2010-03-03 Created: 2010-03-03 Last updated: 2017-12-12Bibliographically approved
Edoff, P. & Norström, C. (2010). Implementing Open Innovation - In Collaborative Flexible Team Formations. In: 17th International product Development Management Conference. Murcia
Open this publication in new window or tab >>Implementing Open Innovation - In Collaborative Flexible Team Formations
2010 (English)In: 17th International product Development Management Conference, Murcia, 2010Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Murcia: , 2010
Research subject
Innovation and Design
Identifiers
urn:nbn:se:mdh:diva-11032 (URN)
Available from: 2010-11-10 Created: 2010-11-10 Last updated: 2013-12-03Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-2855-9220

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