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Report for 2001

Report for 2001

1     Introduction. 4

2     User Interfaces for Mobile Phones. 4

2.1     Features and Feature Interaction. 4

2.2     Importance to Nokia. 6

3     State Space Methods. 6

3.1     The Sweep-Line State Space Method. 7

3.2     Sweep-Line Method for Timed CPN Models. 7

3.3     Improved Support for Symmetry Method. 8

4     Tool Support for Coloured Petri Nets. 8

4.1     New User Interface. 8

4.2     New Simulation Engine. 9

4.3     Monitoring Facilities. 9

4.4     Analysis of Simulation Results. 10

4.5     Tool Support for State Space Analysis. 10

5     Master's Thesis Projects in 2001. 11

6     Plans for New Projects in 2002 and 2003. 12

6.1     State Spaces Methods. 12

6.2     Development of Communication Protocols. 12

6.3     CPN Models in UML-based Software Development 13

6.4     Cooperation with Hewlett-Packard. 13

7     Staff of CPN Centre in 2001. 13

8     Publications from CPN Centre in 2001. 14

 


1         Introduction

This report summarises the work in the CPN Centre in year 2001. The CPN Centre (CIT partnership No. 202) was established as a continuation of the HP-CPN Centre and has a staff of approximately 20 persons. The work within the CPN Centre focuses on three main areas:

·        Design and analysis of communication protocols and other kinds of distributed systems.

·        Performance analysis and capacity planning.

·        Tools, algorithms and techniques to support the two areas above.

The partners in the project are:

·        University of Aarhus, Denmark,

·        Nokia Research Center, Helsinki,

·        George Mason University, Fairfax VA, USA,

·        Hewlett-Packard.

2         User Interfaces for Mobile Phones

The MAFIA project (Modelling and Analysis of Feature Interaction patterns in mobile phone software Architectures) is a joint project between Nokia Research Center in Helsinki and the CPN group at the University of Aarhus. The purpose of the project is to investigate features and feature interactions in the development of Nokia mobile phones through construction of a CPN model.

The first phase of the MAFIA project ran from November 2000 to November 2001 with a total size of 15 man-months. The project group consisted of two people from Nokia Research Center and three people from the CPN group. As part of the MAFIA project a PhD student from the CPN group worked full-time in Nokia Research Center from January 2001 to July 2001.

The project may be continued with one or more new phases starting in 2002 or 2003.

2.1       Features and Feature Interaction

Modern mobile phones provide an increasingly complex and diverse set of features. Besides basic communication facilities there is a growing demand for facilities for personal information management, data transmission, entertainment, etc. To support flexibility and smooth operation, the user interface (UI) of the mobile phone is designed to allow many features to interplay and be active at the same time. The dependencies or interplay of features are called feature interactions.

Prior to the MAFIA project, feature interactions were not systematically docu­mented at Nokia. The description of feature interactions could only be found in the specification of the individual features. The most complex feature interactions were often not fully understood before implementation. This led to costly delays in the integration phase of a set of independently developed features. Therefore, a need for more focus on feature interactions were identified, and this motivated the MAFIA project. The main goals of the project were:

·        To increase the focus on the role of feature interactions during design and software development.

·        To identify and document typical patterns of feature interactions.

·        To develop a systematic methodology for describing feature interactions.

·        To provide an environment for interactive exploration and simulation of the feature interactions for demonstrational or analytical purposes.

One of the main activities in the MAFIA project was to construct a quite complex CPN model. Feature interactions were investigated using simulations of the CPN model. The CPN model was extended with domain specific graphics which allowed UI designers and software developers who are not familiar with Petri Nets to control and gain information from the simulations without directly interacting with the underlying CP-net and its token game:

·        The state of the phone was visualised via an animation of the display.

·        The CPN model was extended with graphical feedback in the form of Message Sequence Charts (MSCs) which are similar to diagrams that are already in use in Nokia.

·        The CPN model was extended with facilities for allowing the users to control the simulations via the mouse and keyboard (without seeing the underlying CPN model).

The CPN model is intended to be used in very different settings:

·        UI designers can simulate the model without having any knowledge of CP‑nets. They get feedback by means of the animation of the phone display and MSCs (with detailed information about the flow of user interaction and snapshots of the phone display).

·        Architectural designers view more detailed feedback about the states of the individual features and the messages being sent between them.

·        For people with knowledge of CPN modelling, it is relatively easy to add new features and simulate these together with the features already included in the model.

2.2       Importance to Nokia

The research results of the MAFIA project are significant to the UI specification and UI software design of Nokia mobile phones. All planned features have been included in the CPN model and all the scenarios can now be simulated. In addition to the CPN model other results achieved through model construction and simulation, such as UI feature classification, feature interaction categorisation, and feature interaction behaviour patterns, are also very important to Nokia.

The MAFIA project created a common conceptual framework and terminology for analysing and describing feature interactions during UI design. The framework was proposed to the UI specification and design team in Nokia and has already been used in UI specification documents. The CPN model is currently maintained by Nokia project members with the technical support from the CPN group. The technol­ogy transfer to UI specifier and software development teams is still ongoing in Nokia.

Nokia is very interested in extending the project with one or more new phases starting late 2002 or 2003. The main research issues in the extension phases will be:

·        detection of unknown and unpredicted feature interactions,

·        integration of CPN Tools and CPN models with the current OO-development environment in Nokia.

Nokia is planning and negotiating with the CPN group about the work in the extension phase.

3         State Space Methods

State spaces are one of the main analysis methods for CP-nets and formal methods in general. They allow the system developer to investigate and reason about the logical correctness of systems. The basic idea is to compute all possible behaviours of the system and represent these as a directed graph called the state space. The nodes correspond to the set of reachable states while the arcs correspond to transitions between reachable states.

The main advantage of state space methods is that they can be supported by computer tools – hiding the underlying mathematics and making them highly automatic to use. This makes state space methods attractive for industrial use. The main disadvantage of state space methods is that for complex systems the demands on the speed and memory of the computer where the state space analysis is being conducted are strong. The improvement of state space methods is therefore closely related to the development of state space reduction methods capable of reducing the time and space requirements for the analysis. The development of a number of new reduction methods allows still more complex systems to be analysed.

The CPN Centre has a number of ongoing research activities concerned with the development of state space reduction methods and efficient implementation techniques. The research in 2001 has primarily focussed on the sweep-line state space method.

3.1       The Sweep-Line State Space Method

The sweep-line method is a novel state space reduction method being proposed and developed by the CPN Centre. The development of the sweep-line method was initiated in late 2000, and the development has continued throughout 2001. The basic idea of the sweep-line method is to exploit a certain kind of progress present in many distributed and concurrent systems. Exploiting progress makes it possible to sweep through the full state space of the system while storing only small fragments of the state space in computer memory at a time. This can lead to significant reduction in peak memory usage for the state space analysis of the system. Practical experiments have shown that the method also leads to savings in the time used to construct state spaces. To conduct initial experiments with the sweep-line method, a prototype tool has been implemented on top of the Design/CPN state space tool. Early case studies have shown a reduction in memory usage in the order of 80-90 %, and a reduction in time in the order of 60-70 %.

A limitation of the basic sweep-line method is that it is based on a strict measure of progress. This means that the method could not be used on reactive systems with a cyclic behaviour. To remedy this situation, the basic sweep-line method has been generalised to allow the use of non-strict progress measures. The key idea is to recognise, on-the-fly during the state space exploration, situations where the strict progress notion is violated – taking necessary actions to handle the violation. The generalised sweep-line method is guaranteed to find all reachable states, but it may explore the same state twice. The generalisation significantly broadens the class of systems for which sweep-line methods can be applied.

3.2       Sweep-Line Method for Timed CPN Models

CPN models can be annotated with information to reflect the timing aspects of systems. This is based on the introduction of a global clock representing the current time in the modelled system. During the execution of the CPN model the clock increases monotonically, and hence it can be used as a progress measure for the sweep-line method.

Due to the absolute time values of the global clock, the state space of a timed CPN model usually becomes infinite. Some years ago, we developed a notion of equivalence for abstracting away the absolute time values – reducing the infinite state spaces of timed CPN models to finite state spaces. However, this factors out the global clock required for the sweep-line method, thereby making the two methods incompatible. To overcome this problem, we have developed a variant of the equivalence reduction method that does not compromise the progress property. This makes it possible to use the equivalence method and the sweep-line method together. The first practical experiments on a few case studies have showed significant savings in usage of both time and space.

3.3       Improved Support for Symmetry Method

The symmetry method is a state space reduction method that exploits the symmetry found in many distributed and concurrent systems. The basic idea is to factor out this symmetry, hereby obtaining a reduced state space that is typically orders of magnitudes smaller than the corresponding full state space. Until now, the construction of symmetry reduced state spaces has required the user to implement (in Standard ML) an equivalence predicate to determine whether two states are symmetric or not. Experience has shown that this is a complex, error-prone, and time-consuming task. To overcome this problem, improved tool support has been developed that allows the user to write high-level symmetry specifications by annotating the colour sets of the CPN model. The equivalence predicate is then automatically generated from this high-level symmetry specification. This represents an important step towards making the symmetry method fully automatic.

4         Tool Support for Coloured Petri Nets

The aim of this project is to develop a state-of-the-art computer tool to support the practical use of Coloured Petri Nets. The new tool is called CPN Tools, and within a couple of years it is expected to fully replace our old tool, Design/CPN, which is being licensed to nearly 1000 organisations in 60 countries, including 200 commer­cial companies.

The CPN Tools project started in 1999 and it is now at a stage where CPN Tools has been released for use outside the CPN group. In March 2002, CPN Tools are being used by more than 100 organisations in 35 countries and this figure is rapidly increasing. During 2002 we will make 2-3 new releases of the CPN Tools. The last of these is expected to be so stable that it can be used for work in large projects.

The development of the CPN Tools has been supported via a number of projects in which the CPN Group has worked as subcontractors for George Mason University, Fairfax VA, USA. In 2000 it was also supported by a grant from Microsoft Research Limited in Cambridge, UK.

4.1       New User Interface

The user interface of the CPN Tools has been designed in close cooperation with leading researchers within the HCI field. The user interface has attracted a lot of interest and excitement, both among HCI researchers and Petri Net researchers. It has been presented at a number of international conferences.

Unlike standard graphical applications, our user interface does not use menu bars, scrollbars or dialog boxes, and there is no need to select objects before editing them. Yet the system is much faster to operate than a traditional desktop interface. Windows are replaced by “pages” that can be collected together into “binders”, making it easy to flip between pages and organise the workspace. A track-ball, operated by the left-hand (if you are right-handed) supplements the mouse in the right hand. Using these two input devices, it is possible to resize and zoom objects by stretching them as one would do with a physical object. It is also possible to move an object with the right hand while flipping pages with the left hand to find its destination. Another two-handed input technique consists in moving a semi-transparent palette called a tool-glass with the left hand while clicking through the tools in it with the right hand. Finally, circular menus that pop-up where the mouse is clicked allow a very fast selection of commands. When the selection is made quickly, a command can be invoked without displaying the menu. This substitutes the use of keyboard shortcuts.

4.2       New Simulation Engine

The CPN Tools use a new simulation engine that is much faster than our old simulation engine. This is important, in particular for simulation based performance analysis and capacity planning. Simulations of complex CPN models are often as much as 1000 times faster. This means that many simulations can now be run in a few seconds instead of hours. The efficiency of the new simulation engine is based on the following modifications:

·        The data structures for multi-sets are a special kind of self-balancing trees.

·        Priority queues are used for timed tokens.

·        The algorithm for enabling calculation is significantly improved.

·        The scheduler is modified to make a more efficient search for enabled transitions.

The simulation engine is a very complicated piece of software and hence it is a non-trivial and lengthy task to debug it as it is being used for more and more complicated CPN models.

4.3       Monitoring Facilities

The monitoring facilities provide means to observe ongoing simulations of a CPN model and take appropriate actions based on the observations. During the simulation of a CPN model it is possible to examine the states and events of the system, periodically extract information from the states and events, and then use the information for very diverse purposes, such as:

·        stopping the simulation when a certain state is reached,

·        visualisation of behaviour using domain-specific graphics,

·        data collection for performance analysis,

·        communication with other processes,

·        use of formal analysis methods.

General patterns in how ad-hoc monitoring has been done in the past have been identified, and these patterns have been generalised to create a uniform and flexible framework for monitoring simulations of CPN models. One of the advantages of the monitoring framework is that it is now possible to use monitors to inspect or control a simulation without having to alter the CPN model itself. The monitoring facilities support both standard monitors and user-defined monitors.

4.4       Analysis of Simulation Results

Performance is often a central issue in the design, development, and configuration of systems. Support for collecting and analysis of data from simulations of CPN models has been integrated in the new simulation engine. These facilities can, e.g., be used for:

·        analysing the performance of existing systems,

·        estimating the performance of newly designed systems,

·        comparing the performance of different systems,

·        capacity planning.

Data collection is implemented using the monitoring framework that was previously mentioned. As a result, data can be collected during a simulation without having to modify the CPN model, and performance measures, such as throughput or average response time, can be calculated on-the-fly. Facilities for executing batches of simulations for a given CPN model have also been created and applied in several case studies. Confidence intervals, which indicate the reliability and precision of estimated performance measures, are automatically calculated during batch simulations. The large amount of data output that is generated during simulations is saved in a systematic manner, and scripts are automatically generated for plotting simulation output with an external application. Additional facilities for running batches of simulations for several different configurations of a given CPN model have been developed and tested. Support is also provided for a variance reduction technique that can be used in an attempt to reduce the number of simulations that need to be run in order to obtain sufficiently precise results.

4.5       Tool Support for State Space Analysis

The state space tool from Design/CPN has been modified so that it now works on top of the new simulation engine mentioned above. For the moment we are creating a user interface which will allow state spaces to be constructed and analysed from CPN Tools. The work is expected to be finished in the summer of 2002. It will give users of CPN Tools direct access to state space analysis – for the moment they need to construct the model in CPN Tools and then load it into Design/CPN to perform the state space analysis.

5         Master's Thesis Projects in 2001

During 2001 the CPN Centre has been involved in the following thesis projects:

Disk-Based Generation of State Spaces

The thesis of Stefan Sørensen designs and implements a state space tool that makes efficient use of disk storage. Traditional state space tools keep all data structures in the main memory of the computer. The aim of the thesis is to be able to construct much larger state spaces.

Distributed State Space Exploration

Farret Guillaume and Carre Guillaume are exchange students from France. Their thesis investigates the use of parallel algorithms in the context of state space generation and analysis. Parallel algorithms have been applied in many other application areas to speed-up demanding computa­tions.

On-the-fly LTL Model Checking

The thesis of Anders M. Mikkelsen, has resulted in a prototype tool that allows system properties expressed in Linear Temporal Logic (LTL) to be checked on-the-fly during state space exploration in Design/CPN. On-the-fly and question-guided model checking can significantly reduce the time and memory required for verification as it allows the state space construction to be terminated as soon as the answer has been determined.

Modelling and Analysis of Multicast Protocols

The thesis of Lone H. Olesen is part of the GCAP project (Global Communication Architecture & Protocols for new QoS services over IPv6 networks) which is an EU project with 4 commercial companies and 5 educational institutions from 6 countries. The thesis is done in close cooperation with Ericsson Telebit A/S, which is the Danish partner in GCAP. As part of the project three multicast protocols are specified and implemented – with different capabilities in terms of Quality of Service. The aim of the thesis is to model and analyse interesting parts of these protocols.

Support for Design of Interactive Multimedia Systems

The thesis of Jakob Færch investigates the use of formal models to support the decision making of multimedia designers. The thesis demonstrates how a class of interactive multimedia systems can be modelled and simulated in an easy and efficient way.

Hand-Over Between Mobile@Home and GSM Networks

The thesis of René M. Jensen and Jonas M. Thomsen investigates the design of a new set of protocols for combining wireless networks. The thesis project is done in cooperation with Ericsson Diax A/S.

6         Plans for New Projects in 2002 and 2003

6.1       State Spaces Methods

We plan to continue the development of the sweep-line method:

·        One area is the automatic identification of progress. Usually, it is easy for the user to find a suitable progress measure, and the validity of it can be verified automatically. However, it is still of interest to investigate how progress can be identified automatically by a computer tool. This will make the sweep-line method fully automatic to use.

·        Another area is the generation of diagnostic information such as an error-trace showing why the system does not have a desired property. For traditional state space methods it is trivial to construct error-traces. With the sweep-line method it is much harder, since states are deleted from memory when they have been explored. The combination of the sweep-line method and disk-based storage seems to offer a promising solution to this problem.

We also plan to initiate the design and implementation of the next generation of CPN state space tools. This is a rather complex and time-consuming task that is similar to the development of the new simulation engine some years ago. The new state space tool is expected to increase the size of systems that can be analysed by means of state spaces by several orders of magnitude. The sweep-line method (with the paradigm of deleting states and state information on-the-fly) will put special requirements on the design.

6.2       Development of Communication Protocols

We expect to start a project on the use of formal methods for specification, validation, verification, and implementation of communication protocols. The project is concerned with the theoretical foundations, supporting computer tools, and applications of formal methods in the areas of Internet protocols and protocols for pervasive computing. The project covers the following areas:

·        Modelling languages for design and specification of protocols.

·        Algorithms and data-structures for efficient analysis, validation, and verification of protocols. This work will focus on state space methods, model checking, and the recently developed sweep-line method.

·        Development and implementation of computer tools supporting protocol development.

·        Application of formal methods and supporting computer tools to improve and further develop protocols. This work will focus on Internet protocols and protocols for pervasive computing.

·        Implementation of Internet protocols and protocols for pervasive computing. Development of methodology for protocol development using formal methods.

Part of the project is likely to be conducted in cooperation with Ericsson Telebit A/S which is a branch of Ericsson specialised in IP router technology, including routers for IPv6.

6.3       CPN Models in UML-based Software Development

The Unified Modelling Language (UML) is today almost universally accepted by the software industry as the modelling language. UML is well-suited to model the static aspects of software systems. However, as it is currently standardised, the UML language is much weaker with respect to the modelling of behavioural aspects. Thus, for development of software components with complex behaviours, UML often cannot stand alone. In many cases, CPN models may be a viable supplement.

We have started a project where we explore combined use of UML and CPN in software development, including:

·        Combined use of UML class diagrams and CPN models for consistent and coherent design of both static and behavioural aspects of software systems and software components.

·        Design-level testing using CPN.

·        Automatic code generation from CPN models.

·        Use of CPN in requirements specification (as an alternative to UML use cases).

6.4       Cooperation with Hewlett-Packard

There has been no direct cooperation with Hewlett-Packard in 2001, and due to a number of reorganisations and changes of business strategies, Hewlett Packard has decided to stop their grant to the CPN Centre July 1, 2002. This is half a year earlier than anticipated in the original contract.

7         Staff of CPN Centre in 2001

The staff of the CPN Centre is as follows:

·        Two Research Managers: professor, Dr. Scient, Kurt Jensen, and associate professor, PhD, Søren Christensen.

·        Three PostDocs: Kjeld Høyer Mortensen, Lars M. Kristensen and Jens Bæk Jørgensen. Lars M. Kristensen has spent the entire 2001 at the University of South Australia in Adelaide, but he still actively participates in many activities within the CPN Centre.

·        Four PhD students: Bo Lindstrøm, Louise Lorentsen, Thomas Mailund, and Lisa M.Wells.

·        Eight half-time student programmers: Mads Sig Ager Jensen, Henry Michael Lassen, Mads Laursen, Jacob Frank Qvortrup, Martin Stig Stissing, Stefan Sørensen, Troels Bjerre Sørensen, and Michael Westergaard.

·        Eight Master’s Thesis students: Jakob Færch, Carré Guillaume, Farret Guillaume, René M. Jensen, Anders M. Mikkelsen, Lone H. Olsen, Stefan Sørensen, and Jonas M. Thomsen.

All PhD students and all Master’s thesis students participate in the activities in the CPN Centre and we consider this to be a very valuable part of their education.

8         Publications from CPN Centre in 2001

[1]         Beaudouin-Lafon, M., Mackay, P. Andersen, W.E., Janecek, P., Jensen, M., Lassen, M., Lund, K., Mortensen, K., Munck, S., Ratzer, A., Ravn, K., Christensen, S., Jensen, K.: A Tool for Editing and Simulating Coloured Petri Nets. European Joint Conferences on Theory and Practice of Software (ETAPS 2001). Genova Italy, April 2001, Lecture Notes in Computer Science, Springer-Verlag 2001, vol. 2031, pp. 574-577.

[2]         Beaudouin-Lafon, M., Mackay, W.E., Andersen, P., Janecek, P., Jensen, M., Lassen, M., Lund, K., Mortensen, K., Munck, S., Ratzer, A., Ravn, K., Christensen, S., Jensen, K.: CPN/Tools: A Post-WIMP Interface for Editing and Simulating Coloured Petri Nets. In: J-M Colom, M. Koutny (eds.): Application and Theory of Petri Nets 2001. Proceedings of the 22nd International Petri Net Conference (ICATPN'2001). Newcastle upon Tyne England, June 2001, Lecture Notes in Computer Science vol. 2075, 71-80.

[3]         Christensen, S., Jensen, K., Mailund, T.: State Space Methods for Timed Petri Nets. In: H. Weber, H. Ehrig and W. Reisig: In Proceedings of 2nd International Colloquium on Petri Net Technologies for Modelling Communication Based Systems, Berlin, Germany, September 14-15, 2001, 33-42.

[4]         Christensen, S., Kristensen, L.M., Mailund, T.: A Sweep-Line Method for State Space Exploration. In Proceedings of Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2001). Genova Italy, April 2001, Lecture Notes in Computer Science, Springer-Verlag 2001, vol. 2031, pp. 450-464.

[5]         Christensen, S., Kristensen, L.M., Mailund, T.: Condensed State Spaces for Timed Petri Nets. J-M Colom, M. Koutny (eds.): Application and Theory of Petri Nets 2001. Proceedings of the 22nd International Petri Net Conference (ICATPN'2001). Newcastle upon Tyne England, June 2001, Lecture Notes in Computer Science, Springer-Verlag 2001 vol 2075, 101-120.

[6]         Gallasch, G., Kristensen, L.M.: Comms/CPN: A Communication Infrastructure for External Communication with Design/CPN. In Proceedings of 3rd Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools (CPN'01), pp. 79-93. DAIMI PB-554, Department of Computer Science, University of Aarhus, ISSN 0105-8517.

[7]         Gordon, S., Kristensen, L.M., Billington, J.: An Approach to Generalising the State Space of a Distributed Missile Simulator. In Proceedings of 11th Annual International Symposium on System Engineering (INCOSE'2001).

[8]         Gorden, S., Kristensen, L.M., Billington, J.: Verification of a Revised WAP Transaction Protocol. Accepted for publication in J. Esparza, C. Lakos (eds.): Application and Theory of Petri Nets 2002. Proceedings of the 23nd International Petri Net Conference (ICATPN'2002), Adelaide, June 2002, Lecture Notes in Computer Science, Springer-Verlag 2002.

[9]         Jensen K. (ed.): Third Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools. Proceedings. Department of Computer Science, University of Aarhus, Denmark, PB-554, 2001.

[10]    Jensen K. (ed.): Special Section on Practical Use of High-level Petri Nets. Int. Journal on Software Tools for Technology Transfer,3/4 (2001), Springer Verlag, 369-430.

[11]    Kristensen, L.M.: Exploiting Place Invariants in Condensed State Space Construction for Coloured Petri Nets. In Proceedings of International Conference on Parallel Processing Techniques and Applications (PDPTA'2001). pp. 661-667, Vol II, CSREA Press 2001.

[12]    Lindstrøm, B.: Web-Based Interfaces for Simulation of Coloured Petri Net Models. In K. Jensen (ed.): Special Section on Practical Use of High-level Petri Nets. Int. Journal on Software Tools for Technology Transfer 3/4 (2001), Springer-Verlag, pp. 405-416, 2001.

[13]    Lorentsen, L., Kristensen, L.M.: Exploiting Stabilizers and Parallelism in State Space Generation with the Symmetry Method. In Proceedings of the Second Internationel conference on Application of Concurrency to System Design (ICACSD'01), 211-220, IEEE 2001.

[14]    Lorentsen, L., Tuovinen, A-P., Xu, J.: Modelling Feature Interaction Patterns in Nokia Mobile Phones using Coloured Petri Nets and Design/CPN. In K.Jensen, (ed.), Proceedings of the third workshop on practical use of Coloured Petri Nets and the CPN Tools, August 2001.

[15]    Lorentsen, L., Tuovinen, A-P., Xu, J.: Modelling Feature Interactions in Mobile Phones. ECOOP 2001 Workshop: Feature Interaction in Composed Systems, Hungary, June 2001.

[16]    Lorentsen, L., Tuovinen, A-P., Xu, J.: Capturing Feature Interaction Patterns with Coloured Petri Nets. Seventh Symposium on Programming Languages and Software Tools (SPLST'2001), Hungary, June 2001.

[17]    Mortensen, K.H.: Efficient Data-Structures and Algorithms for a Coloured Petri Nets Simulator. In: Kurt Jensen (Ed.): 3rd Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools (CPN'01), pp. 57-74. DAIMI PB-554, University of Aarhus, August 2001.

[18]    Ouyang, C., Kristensen, L.M., Billington, J.: A Formel Service Specification for the Internet Open Trading Protocol. Accepted for publication in J. Esparza,
C. Lakos (eds.): Application and Theory of Petri Nets 2002. Proceedings of the 23nd International Petri Net Conference (ICATPN'2002),
Adelaide, June 2002, Lecture Notes in Computer Science, Springer-Verlag 2002.

[19]    Ouyang, C., Kristensen, L.M., Billington, J.: Towards Modelling and Analysis of the Internet Open Trading Protocol Transactions Using Coloured Petri Nets. In Proceedings of 11th Annual International Symposium on System Engineering (INCOSE'2001).

[20]    Ouyang, C., Kristensen, L.M., Billington, J.: An Improved Architectural Specification of the Internet Open Trading Protocol Transactions. In Proceedings of 3rd Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools (CPN'01), pp. 119-137. DAIMI PB-554, Department of Computer Science, University of Aarhus, ISSN 0105-8517.

[21]    Qureshi, Z., Billington, J., Kristensen, L.M.: Modelling Military Airborne Mission Systems for Functional Analysis. In Proceedings of 20th Digital Avionics Systems Conference. Daytona Beach, 14-18 October 2001.

[22]    Wells, L., Christensen, S., Kristensen, L.M., Mortensen K.: Simulation Based Performance Analysis of Webs Servers. In R. German and B. Haverkort (eds.) Proceedings of the 9th International Workshop on Petri Nets and Performance Models, IEEE, September 2001, pp. 59-68.

[23]    Zhang, L., Kristensen, L.M., Falzon, L., Davies, M., Mitchell, B., Billington, J.: Model-based Operational Planning using Coloured Petri Nets. In Proceedings og 6th International Command and Control Research and Technology Symposium (CCRTS), 2001.