An approach to visualizing empirical software project portfolio data using multidimensional scaling

Auer, Martin T.; Graser, B.; Biffl, Stefan

doi:10.1109/iri.2003.1251458

Cited by 8 publications

(7 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…. ; d l denote those features that are observed at the time of estimation, and e denotes the project's costs upon completion [15] (because the features' value ranges differ, they are first scaled to the interval ½0; 1). The similarity of two projects can be defined as a weighted Euclidean distance over the features…”

Section: Related Workmentioning

confidence: 99%

Optimal project feature weights in analogy-based cost estimation: improvement and limitations

Auer

Trendowicz

Graser³

et al. 2006

IIEEE Trans. Software Eng.

Self Cite

100

View full text Add to dashboard Cite

Abstract-Cost estimation is a vital task in most important software project decisions such as resource allocation and bidding. Analogy-based cost estimation is particularly transparent, as it relies on historical information from similar past projects, whereby similarities are determined by comparing the projects' key attributes and features. However, one crucial aspect of the analogy-based method is not yet fully accounted for: the different impact or weighting of a project's various features. Current approaches either try to find the dominant features or require experts to weight the features. Neither of these yields optimal estimation performance. Therefore, we propose to allocate separate weights to each project feature and to find the optimal weights by extensive search. We test this approach on several real-world data sets and measure the improvements with commonly used quality metrics. We find that this method 1) increases estimation accuracy and reliability, 2) reduces the model's volatility and, thus, is likely to increase its acceptance in practice, and 3) indicates upper limits for analogy-based estimation quality as measured by standard metrics.

show abstract

Section: Related Workmentioning

confidence: 99%

Optimal project feature weights in analogy-based cost estimation: improvement and limitations

Auer

Trendowicz

Graser³

et al. 2006

IIEEE Trans. Software Eng.

Self Cite

100

View full text Add to dashboard Cite

show abstract

“…We visualise project portfolios as ensembles of symbols arranged by different layout algorithms. Results of a preliminary evaluation indicate that the visual design is very good (5) good (4) medium (3) bad (2) comprehensible and user acceptance for the symbolic representation is high. Our industry partner Onepoint is currently in the process of integrating the visualisation into existing products.…”

Section: Discussionmentioning

confidence: 99%

“…Auer et al [5] provide a multidimensional scaling method for visualising high-dimensional project data in order to project them to two or three dimensions. Projects which are similar in the high dimensional space are grouped together in the visualisation allowing the user to identify clusters of similar projects.…”

Section: Related Workmentioning

confidence: 99%

A Visual Approach to Project and Portfolio Monitoring

Rauch

Kienreich

Aquila³

et al. 2013

2013 17th International Conference on Information Visualisation

View full text Add to dashboard Cite

Project managers increasingly rely on software support for monitoring status and development of projects gathered in large portfolios. The status of a project is characterized by a large number of mostly numerical parameters. Various chart visualisations are commonly used to express parameters, provide aggregation and support comparison. We propose a visual representation which encodes the parameters defining a project's status into a single project symbol. We also propose to visualise project portfolios by applying a twodimensional layout to collections of project symbols. The resulting project portfolio visualisations empower users to monitor the progress and status of each project, discover outliers, and identify project groups sharing common properties. A user evaluation of the project symbol and of the portfolio visualisations was performed providing directions for further improvements.

show abstract

“…Multidimensional scaling (MDS) [1,25,26,30,35,36,39,40] has been proposed to reveal the discovery and representation of hidden feature structure underlying dissimilarity matrices. MDS aims to transform a set of high-dimensional data to lower dimensions in order to determine the dimensionality necessary to account for dissimilarities and to obtain coordinates within this space.…”

Section: Revealing Structure Through Multidimensional Scaling (Mds) Amentioning

confidence: 99%

A Market-Driven Product Line Scoping

Lee

2012

Software Engineering Research,Management and Applications 2011

View full text Add to dashboard Cite

Abstract.As markets fragmented into a plethora of submarkets, coping with various customers demands is becoming time consuming and expensive. Recently software product line (SPL) approach has shown many benefits as opposed to single product development approach in terms of quality, time-to-market, and cost. However, quantitative market-driven scoping method from existing or future product portfolio and relating customers to products has not been explored. Even though setting the proper scope of the product line is the first step to establishing initiatives in software product line, a market-driven scoping based on engineering principles has not been fully exploited. In this paper, we propose a market-driven quantitative scoping method. This method incorporates customers' needs, product family structure and market strategies into scoping such that this ensures that SPL derivatives penetrate market grids.

show abstract

An approach to visualizing empirical software project portfolio data using multidimensional scaling

Cited by 8 publications

References 15 publications

Optimal project feature weights in analogy-based cost estimation: improvement and limitations

Optimal project feature weights in analogy-based cost estimation: improvement and limitations

A Visual Approach to Project and Portfolio Monitoring

A Market-Driven Product Line Scoping

Contact Info

Product

Resources

About