| 1. |
- Karlsson, Lena, et al.
(författare)
-
Requirements prioritisation: an experiment on exhaustive pair-wise comparisons versus planning game partitioning
- 2004
-
Ingår i: 8th Internation Conference on Empirical Assessment in Software Engineering (EASE 2004) Workshop - 26th International Conference on Software Engineering. - 0863414354 ; , s. 145-154
-
Konferensbidrag (refereegranskat)abstract
- The process of selecting the right set of requirements for a product release is highly dependent on how well we succeed in prioritising the requirements candidates. There are different techniques available for requirements prioritisation, some more elaborate than others. In order to compare different techniques, a controlled experiment was conducted with the objective of understanding differences regarding time consumption, ease of use, and accuracy. The requirements prioritisation techniques compared in the experiment are the analytical hierarchy process (AHP) and a variation of the planning game (PG), isolated from extreme programming. The subjects were 15 Ph.D. students and one professor, who prioritised mobile phone features using both methods. It was found that the straightforward and intuitive PG was less time consuming, and considered by the subjects as easier to use, and more accurate than AHP
|
|
| 2. |
- Spjuth, Ola, 1977-, et al.
(författare)
-
E-Science technologies in a workflow for personalized medicine using cancer screening as a case study
- 2017
-
Ingår i: JAMIA Journal of the American Medical Informatics Association. - : Oxford University Press. - 1067-5027 .- 1527-974X. ; 24:5, s. 950-957
-
Tidskriftsartikel (refereegranskat)abstract
- Objective: We provide an e-Science perspective on the workflow from risk factor discovery and classification of disease to evaluation of personalized intervention programs. As case studies, we use personalized prostate and breast cancer screenings.Materials and Methods: We describe an e-Science initiative in Sweden, e-Science for Cancer Prevention and Control (eCPC), which supports biomarker discovery and offers decision support for personalized intervention strategies. The generic eCPC contribution is a workflow with 4 nodes applied iteratively, and the concept of e-Science signifies systematic use of tools from the mathematical, statistical, data, and computer sciences.Results: The eCPC workflow is illustrated through 2 case studies. For prostate cancer, an in-house personalized screening tool, the Stockholm-3 model (S3M), is presented as an alternative to prostate-specific antigen testing alone. S3M is evaluated in a trial setting and plans for rollout in the population are discussed. For breast cancer, new biomarkers based on breast density and molecular profiles are developed and the US multicenter Women Informed to Screen Depending on Measures (WISDOM) trial is referred to for evaluation. While current eCPC data management uses a traditional data warehouse model, we discuss eCPC-developed features of a coherent data integration platform.Discussion and Conclusion: E-Science tools are a key part of an evidence-based process for personalized medicine. This paper provides a structured workflow from data and models to evaluation of new personalized intervention strategies. The importance of multidisciplinary collaboration is emphasized. Importantly, the generic concepts of the suggested eCPC workflow are transferrable to other disease domains, although each disease will require tailored solutions.
|
|
