Change search
Refine search result
1 - 6 of 6
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1. Cedergren, Stefan
    et al.
    Wall, Anders
    Norström, Christer
    RISE, Swedish ICT, SICS.
    Evaluation of performance in a product development context2010In: Business Horizons, Vol. 53, no 4, p. 359-369Article in journal (Refereed)
    Abstract [en]

    In today's competitive environment, the need is greater than ever to deploy product development investments more effectively. To assist managers, we have developed two conceptual tools to support the evaluation of performance in product development. The Performance Measurement Evaluation Matrix (PMEX) 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 contend that an effective performance measurement system is based on performance criteria, and then derives 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 Performance 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.

  • 2. Lu, Yue
    et al.
    Kraft, Johan
    Nolte, Thomas
    Norström, Christer
    RISE, Swedish ICT, SICS.
    A Statistical Approach for Validation of Task Simulation Models with Intricate Temporal Execution Dependencies2010Conference paper (Refereed)
  • 3. Lu, Yue
    et al.
    Kraft, Johan
    Nolte, Thomas
    Norström, Christer
    RISE, Swedish ICT, SICS.
    A Statistical Approach to Simulation Model Validation in Timing Analysis of Complex Real-Time Embedded Systems2010Conference 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.

  • 4. Lu, Yue
    et al.
    Nolte, Thomas
    Bate, Iain
    Norström, Christer
    RISE, Swedish ICT, SICS.
    Timing Analyzing for Systems with Execution Dependencies between Tasks2010Conference paper (Refereed)
  • 5. Lu, Yue
    et al.
    Nolte, Thomas
    Bate, Iain
    Norström, Christer
    RISE, Swedish ICT, SICS.
    Timing Analyzing for Systems with Task Execution Dependencies2010Conference paper (Refereed)
  • 6. Lu, Yue
    et al.
    Nolte, Thomas
    Kraft, Johan
    Norström, Christer
    RISE, Swedish ICT, SICS.
    Statistical-based Response-Time Analysis of Systems with Execution Dependencies between Tasks2010Conference paper (Refereed)
1 - 6 of 6
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.10