http://www.bibsonomy.org/burst/user/neilernst/simulationBibSonomy BuRST Feed for /user/neilernst/simulation2008-10-16T06:43:23+02:00zoterohttp://www.bibsonomy.org/bibtex/2a5ca7718887dca1dce3e9087dd69911f/neilernstneilernst2007-10-19T18:55:16+02:00models,Latour ANT,dynamic dynamics,software management,software evolutionary simulation prototyping actor-network theory,software evolution <span style="color:#555555;">P. <a href="http://www.bibsonomy.org/author/Wernick">Wernick</a> und T. <a href="http://www.bibsonomy.org/author/Hall">Hall</a> und C.L. <a href="http://www.bibsonomy.org/author/Nehaniv">Nehaniv</a> </span><em>Software Evolvability, 2006. SE '06. Second International IEEE Workshop on, </em><em>Seite74-81. </em>(<em>2006</em>)Fri Oct 19 18:55:16 CEST 2007Software Evolvability, 2006. SE '06. Second International IEEE Workshop onSoftware Evolvability, 2006. SE '06. Second International IEEE Workshop on74-81Software Evolutionary Dynamics Modelled as the Activity of an Actor-Network2006models,Latour ANT,dynamic dynamics,software management,software evolutionary simulation prototyping actor-network theory,software evolution The pressures which act on a software system over its life from inception to retirement are many and varied. It is an important goal in considering software evolvability to understand, and if possible to manage these influences. Our previous simulations of software evolution processes have concentrated on capturing the human-related aspects of software evolution, whilst effectively treating technical entities as objects which are acted on by humans and their organisations. Latour's actor-network theory (ANT) suggests that the non-human entities - development tools, document, the system itself - are potentially active participants in their own evolution. We describe Latour's theory, and present a model of a software evolution process in the form of a diagram which places technical and human aspects in juxtaposition closer to that which ANT would suggest than previous models. We believe that this approach will result in a more accurate representation of the process, and thus be a step towards dynamic simulation models whose predictive power will help us to better understand and manage software evolution and evolvabilityNot previously uploadedhttp://www.bibsonomy.org/bibtex/27ea66ac0bd1950ac108ce954fd4155f3/neilernstneilernst2006-09-18T06:26:07+02:00simulation requirements evolution <span style="color:#555555;">C. <a href="http://www.bibsonomy.org/author/Seybold">Seybold</a> und S. <a href="http://www.bibsonomy.org/author/Meier">Meier</a> und M. <a href="http://www.bibsonomy.org/author/Glinz">Glinz</a> </span><em>7th International Workshop on Principles of Software Evolution, </em><em>Seite43--48. </em>(<em>2004</em>)Mon Sep 18 06:26:07 CEST 20067th International Workshop on Principles of Software EvolutionSoftware Evolution, 2004. Proceedings. 7th International Workshop on Principles of43--48Evolution of requirements models by simulation2004simulation requirements evolution Simulation is a common means for validating requirements models. Simulating formal models is state-of-the-art. However, requirements models usually are not formal for two reasons. Firstly, a formal model cannot be generated in one step. Requirements are vague in the beginning and are refined stepwise towards a more formal representation. Secondly, requirements are changing, thus leading to a continuously evolving model. Hence, a requirements model will be complete and formal only at the end of the modeling process, if at all. If we want to use simulation as a means of continuous validation during the process of requirements evolution, the simulation technique employed must be capable of dealing with semi-formal, incomplete models. We present an approach how we can handle partial models during simulation and use simulation to support evolution of these models. Our approach transfers the ideas of drivers, stubs, and regression from testing to the simulation of requirements models. It also uses the simulation results for evolving an incomplete model in a systematic way towards a more formal and complete one.citeulike sept 4http://www.bibsonomy.org/bibtex/284691aaca8b988c40a9f1fed554e7fe7/neilernstneilernst2006-09-04T19:16:16+02:00process simulation requirements <span style="color:#555555;">Susan <a href="http://www.bibsonomy.org/author/Ferreira">Ferreira</a> und James <a href="http://www.bibsonomy.org/author/Collofello">Collofello</a> und Dan <a href="http://www.bibsonomy.org/author/Shunk">Shunk</a> und Gerald <a href="http://www.bibsonomy.org/author/Mackulak">Mackulak</a> und Philip <a href="http://www.bibsonomy.org/author/Wolfe">Wolfe</a> </span><em>Workshop on Process Software Smulation Modeling (PROSIM) at ICSE, </em><em>May2003. </em>Mon Sep 04 19:16:16 CEST 2006Workshop on Process Software Smulation Modeling (PROSIM) at ICSEMayUtilization of Process Modeling and Simulation in Understanding the Effects of Requirements Volatility in Software Development2003process simulation requirements Requirements volatility is a common software project risk that can have severe consequences resulting in cost and schedule overruns and, at times, cancelled projects. This paper introduces an executable system dynamics simulation model developed to help project managers comprehend the effects of requirements volatility. Requirements volatility and its effects were studied using various analysis and modeling techniques. The requirements volatility study results were used to design major simulator components that were integrated into a previously developed and validated simulator, leveraging pre-existing software risk related systems dynamics research. The base simulator was also extended to provide an encompassing view of the requirements engineering process. The distributions used for stochastically simulating the requirements volatility risk effects and requirements engineering factors were derived from a survey that included over 300 software project managers. The simulator can be used as an effective tool to demonstrate the researched effects of requirements volatility on a software development project.sdasdahttp://www.bibsonomy.org/bibtex/2739134c5ce7db0e9ce5cec4b5916a632/neilernstneilernst2006-03-24T16:34:33+01:00life artificial simulation <span style="color:#555555;">Steven <a href="http://www.bibsonomy.org/author/Levy">Levy</a> </span><em>Random House, </em>(<em>1992</em>)Fri Mar 24 16:34:33 CET 2006Artificial {L}ife1992life artificial simulation sdasdahttp://www.bibsonomy.org/bibtex/290dcb13bfb917c603c95fdc5b4739cd7/neilernstneilernst2006-03-24T16:34:33+01:00modeling simulation requirements agent i-star <span style="color:#555555;">G. <a href="http://www.bibsonomy.org/author/Gans">Gans</a> und M. <a href="http://www.bibsonomy.org/author/Jarke">Jarke</a> und G. <a href="http://www.bibsonomy.org/author/Lakemeyer">Lakemeyer</a> und T. <a href="http://www.bibsonomy.org/author/Vits">Vits</a> </span><em>International Conference on Advanced Information Systems Engineering, </em><em>3248, </em><em>Seite328--343. </em><em>Toronto, </em><em>May2002. </em>Fri Mar 24 16:34:33 CET 2006TorontoInternational Conference on Advanced Information Systems EngineeringLecture Notes in Computer ScienceMay328--343SNet: A modeling and simulation environment for agent networks based on i* and ConGolog32482002modeling simulation requirements agent i-star SNet is a prototype environment supporting the representation and dynamic evaluation of designs for social networks comprising human, hardware, and software agents. The environment employs metadata management technology to integrate an extended version of the i* formalism for static network modeling with the ConGolog logicbased activity simulator. The paper de nes the formal mappings necessary to achieve the integration and describes an operational prototype demonstration. SNet's...