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1
Applying Knowledge Management in Software
Maintenance through Agents
Aurora Vizcaíno Alarcos Research
Group Universidad Castilla-La Mancha (Spain)
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CONTENTS
  • Knowledge Management
  • Why use Knowledge Management in Software
    Maintenance?
  • KM-Mantis A Multi-Agent System
  • Conclusions

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Knowledge Management
  • The management of organizational knowledge to
    create business value and generating a
    competitive advantage
  • Tacit Knowledge
  • Explicit knowledge

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Knowledge Management
  • The SECI (Socialization-Externalization-Combinati
    on-Internalization) model describes the
    combinations of the different types of knowledge
  • Socialization Sharing tacit knowledge. It
    becomes new tacit knowledge for the person that
    receives it

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Knowledge Management
  • Externalization Expressing the tacit knowledge
    as explicit knowledge
  • Combination Mixing different explicit knowledge
  • Internalization Converting explicit knowledge
    into tacit knowledge. The person adds her/his
    experience and beliefs

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Knowledge Transformation
to Explicit Knowledge
Tacit Knowledge
Externalization
Socialization
Tacit Knowledge
Combination
Internalization
Explicit Knowledge
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The Need for Knowledge Management in Software
Engineering
  • Development teams do not benefit from existing
    experience. Instead they repeat mistakes over and
    over again (Basili et al., 2001 Brössler, 1999)
  • These problems are also linked to the problem of
    transferring knowledge to novices in the
    organization

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The Need for Knowledge Management in Software
Engineering
  • Software development is becoming a complex domain
    to master due to the constant change and trends
    of new technologies
  • Every emerging technology cannot be mastered
    overnight and it is extremely hard to accurately
    estimate the cost of a project when the
    technologies it will be using are new and
    unproven, and may even change during the project

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The Need for Knowledge Management in Software
Engineering
  • People in software organizations spend 40 of
    their time in searching for and accessing
    different types of information related to their
    projects (Henninger, 1997)
  • In the absence of any knowledge about other
    employees expertise, people are even found
    spending as many as 3-4 days locating experts
  • KM can establish routines for identifying
    knowledge, as well as the people who own the
    knowledge

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KM in Software Engineering. Opportunities
  • While AI techniques can be intimidating to many
    people, this is not the case for software
    engineers (Schneider, 2001)
  • All artifacts are already in electronic form
    (Schneider, 2001)
  • Knowledge sharing between software engineers does
    already occur. (Knowledge sharing forum in Suns
    support for Java programmers)

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The Need for Knowledge Management in Software
Maintenance
  • Many studies have demonstrated that most of the
    overall expenses incurred during the life-cycle
    of a software product occur during the
    maintenance process
  • A lot of information is generated from different
    sources
  • Products
  • Reasons that motivate maintenance (new
    requirements, user
  • complaints)
  • Professionals involved in the SM process
  • The various types of information are produced at
    different stages but seldom is it stored and
    processed

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The Need for Knowledge Management in Software
Maintenance
  • Each person has partial information that is
    required by other members of staff
  • If a person leaves the organization his/her
    expertise and tacit knowledge go with him/her
  • By using a KM system tacit knowledge can be
    transformed into explicit knowledge, which
    belongs to the organisation, and good solutions
    and lessons learned can be reused thus avoiding
    the repetition of mistakes

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KM-MANTIS a Multi-Agent System
A system for storing, processing and managing
information and knowledge generated during the
software maintenance process
Why agents?
  • Agents are proactive
  • Agents can manage both distributed and local
    information
  • Agents may have different reasoning techniques
    (induction and decision tree-based algorithms,
    case-based reasoning)
  • Agents share their knowledge

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KM-MANTIS Architecture
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KM-MANTIS Architecture Staff Agents
I am the Staff Agent, I am in charge of helping
maintainers to perform their work. When a person
chooses a project I ask the KMA to search for
knowledge that can be userful for him
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KM-MANTIS Architecture Product Agents
And when a new modification is demanded a new
project agent is created and I give it
information about which people are the
most suitable to do the work, what activities
should be carried out and what documentation it
could be useful to consult. Of course to know
this I consult the KMA and the KSMA.
I am the Product Agent, I have all the
information related to a product such as which
person has modified something, why, etc.
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KM-MANTIS Architecture Project Agent
I am the Project Agent, I control the evolution
of my project. For instance the state of each
task, the persons who are working in the project,
what information they often consult. So I can
inform the KMA what information is the most
important, therefore it can recommend it in a
future similar project
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KM-MANTIS Architecture Client Agent
I am the Client Agent, I help clients when they
are filling in a maintenance request and also
send it to the product agent. Moreover, If a
client wants I can inform him about the evolution
of the request that he/she made previously. To
obtain this information I consult the Project
Agent
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KM-MANTIS Architecture Directory Agent
I am the Directory Agent, I have
information about how many agents are active in
the system
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KM-MANTIS Architecture KMA and KSMA Agents
I am the KMA (Knowledge Manager Agent) I try to
generate new knowledge from the Maintainers
daily work. For example, if a person is working
with a project in Java I can guess that this
person knows Java, and the more he works in Java
projects the more expert I will think him in this
language
I am the KSMA (Knowledge Sources Manager Agent)
I know where the knowledge sources are and how to
consult them. For instance I know that the
design of a particular software is in the
electronic report called DesignofName or that
Mary is the expert in Java programs
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Mary, who is a mantainer, has consulted in the
system the list of the projects she is working
on, and she has selected a project. The staff
agent informs her there are different knowledge
sources that can help her. She chooses to see
these.
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Some Aspects of Implementation
  • Ingenias, a methodology based on MESSAGE
    (Methodology for Engineering Systems of Software
    Agents)
  • Jade Platform which provides mechanisms to
    define and use ontologies
  • Information is stored in XML documents in a
    XINDICE database

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Conclusions
  • Knowledge Management enables companies to be
    more competitive
  • SMP generates different types of information
    during different stages. By using Knowledge
    Management this information can be processed and
    reused. Therefore, organizations can be
    independent of their employees knowledge
  • A multiagent system where different agents
    obtain and process the different types of
    information in order to help maintainers to
    perform their work

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Applying Knowledge Management in Software
Maintenance through Agents
Aurora Vizcaíno, Alarcos Research
Group Universidad Castilla-La Mancha (Spain)
28

The Experience Factory Approach
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