Abstract is missing.
- How do scientists develop and use scientific software?Jo Erskine Hannay, Hans Petter Langtangen, Carolyn MacLeod, Dietmar Pfahl, Janice Singer, Greg Wilson. 1-8 [doi]
- Some challenges facing software engineers developing software for scientistsJudith Segal. 9-14 [doi]
- Barely sufficient software engineering: 10 practices to improve your CSE softwareMichael A. Heroux, James M. Willenbring. 15-21 [doi]
- An empirical characterization of scientific software development projects according to the Boehm and Turner model: A progress reportCarlton A. Crabtree, Akif Günes Koru, Carolyn B. Seaman, Hakan Erdogmus. 22-27 [doi]
- Refactoring and the evolution of FortranJeffrey L. Overbey, Stas Negara, Ralph E. Johnson. 28-34 [doi]
- Integration strategies for Computational Science & Engineering softwareRoscoe A. Bartlett. 35-42 [doi]
- Reusability of FEA software: A program family approachWen Yu, Spencer Smith. 43-50 [doi]
- Developing scientific applications using Generative ProgrammingRitu Arora, Purushotham Bangalore, Marjan Mernik. 51-58 [doi]
- Testing for trustworthiness in scientific softwareDaniel Hook, Diane Kelly. 59-64 [doi]
- Injecting software architectural constraints into legacy scientific applicationsDavid Woollard, Chris Mattmann, Nenad Medvidovic. 65-71 [doi]
- Comparing bioinformatics software development by computer scientists and biologists: An exploratory studyParmit K. Chilana, Carole L. Palmer, Andrew J. Ko. 72-79 [doi]
- Preparing scientists for scalable software developmentValerie Maxville. 80-85 [doi]