Using Little-JIL to coordinate agents in software engineering

Wise, Alexander; Cass, Aaron G.; Lerner, Barbara; McCall, E. K.; Osterweil, Leon J.; Sutton, Stanley M.

doi:10.1109/ase.2000.873660

Cited by 42 publications

(15 citation statements)

References 17 publications

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“…It is strange to report, but examples of execution of Little-JIL are rare (an interpreter exists for Little-JIL models but examples of its execution are not mentioned (i.e. in [6,46]). …”

Section: Decisions Using Model-based Simulationsmentioning

confidence: 91%

“…Note that for software process programming, elaborate new modelling paradigms may not be required. For example, the Little-JIL process programming language [6,46] just uses standard programming constructs such as pre-conditions, post-conditions, exception handlers, and a top-down decomposition tree showing sub-tasks inside tasks.…”

Section: Decisions Using Model-based Simulationsmentioning

confidence: 99%

See 1 more Smart Citation

Model-based tests of truisms

Raffo

Setamanit

Hu³

et al. 2002

Proceedings 17th IEEE International Conference on Automated Software Engineering,

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Software engineering (SE) truisms capture broadlyapplicable principles of software construction. The trouble with truisms is that such general principles may not apply in specific cases. This paper tests the specificity of two SE truisms: (a) increasing software process level is a desirable goal; and (b) it is best to remove errors during the early parts of a software lifecycle. Our tests are based on two well-established SE models: (1) Boehm et.al.'s COCOMO II cost estimation model; and(2) Raffo's discrete event software process model of a software project life cycle. After extensive simulations of these models, the TAR2 treatment learner was applied to find the model parameters that most improved the potential performance of the real-world systems being modelled.The case studies presented here showed that these truisms are clearly sub-optimal for certain projects since other factors proved to be far more critical. Hence, we advise against truism-based process improvement. This paper offers a general alternative framework for model-based assessment of methods to improve software quality: modelling + validation + simulation + sensitivity. That is, after recording what is known in a model, that model should be validated, explored using simulations, then summarized to find the key factors that most improve model behavior.

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“…It is strange to report, but examples of execution of Little-JIL are rare (an interpreter exists for Little-JIL models but examples of its execution are not mentioned (i.e. in [6,46]). …”

Section: Decisions Using Model-based Simulationsmentioning

confidence: 91%

Section: Decisions Using Model-based Simulationsmentioning

confidence: 99%

Model-based tests of truisms

Raffo

Setamanit

Hu³

et al. 2002

Proceedings 17th IEEE International Conference on Automated Software Engineering,

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“…Process models are proposed to model and represent overall software process [19], [20]. Some of these models include programming models [21], functional models [22], plan based models [23] and Petri-net based models [24].…”

Section: Related Workmentioning

confidence: 99%

High Productivity Programmers Use Effective Task Processes in Unit-Testing

Kamma

Jalote

2015

2015 Asia-Pacific Software Engineering Conference (APSEC)

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Software productivity is influenced by how efficiently programmers execute tasks assigned to them. For executing a task, programmers execute several steps. How the execution of these steps is organized by a programmer is referred to as task process. While overall software process has been well studied, the impact of task processes has not been studied much. In this work, we study the impact of task processes on the productivity of programmers. We first model a task process as a Markov chain with each state representing a step, and then study the difference in task processes of high and low productivity programmers using the Euclidean distance between Markov chains. We applied this method in a field study conducted at Robert Bosch Engineering & Business Solutions Private Limited, a CMMi Level 5 software company. We analyzed the task processes of eighteen programmers from three live model-based unit-testing projects, and modeled them as Markov chains. We compared the task processes used by a programmer for executing similar tasks, and then compared the task processes of programmers within the same group (high/low productivity) and across groups. The results of the study indicate: a) each programmer uses similar task processes for executing similar tasks, though the task processes of a high productivity programmer are more similar than the task processes of a low productivity programmer, b) task processes of high productivity programmers are similar to each other, and c) task processes of a low productivity programmer differ widely from high productivity programmers.

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“…Little-JIL [28], a language for programming the coordination of agents is an executable, high-level process programming language with a formal (yet graphical) syntax and rigorously defined operational semantics. Little-JIL is based on two main hypotheses.…”

Section: Little-jilmentioning

confidence: 99%

“…There are several work existing for decentralised workflow management using multi-agent/P2P technologies such as Little-Jil [28], PeCo [6], WWPD [9] and SwinDeW [29] etc. However, these research on implementing workflow in a multi-agent platform for B2B collaboration is still quite immature with many problems addressed inadequately.…”

Section: Our System Vs Other Multi-agent/p2p-based Systemsmentioning

confidence: 99%

B2B collaboration through web services-based multi-agent system

Guo

2010

SOCA

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Web services open a door for better B2B collaboration in large distributed environment such as Internet. Process-oriented systems like workflow management systems have been taking the main role for web servicebased B2B collaboration in such an environment. However, conventional workflow management systems don't offer complete solutions for B2B collaborations considering many unsolved issues such as security, trust and complex and flexible interaction handling. In this paper, we propose a web service-based multi-agent platform, which can be used as a complementary solution for B2B collaborations. It fits naturally into the B2B interaction model and provides a very loosely coupled open system architecture.

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Using Little-JIL to coordinate agents in software engineering

Abstract: Little-JIL, a new language for programming the coordination of agents is an executable

Cited by 42 publications

References 17 publications

Model-based tests of truisms

Model-based tests of truisms

High Productivity Programmers Use Effective Task Processes in Unit-Testing

B2B collaboration through web services-based multi-agent system

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