Mining System-User Interaction Traces for Use Case Models - PowerPoint PPT Presentation

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Mining System-User Interaction Traces for Use Case Models

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Mining System-User Interaction Traces for Use Case Models. Mohammed El-Ramly. Eleni Stroulia. Paul Sorenson (presented by Hsiao-Ming Tsou) ... – PowerPoint PPT presentation

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Title: Mining System-User Interaction Traces for Use Case Models


1
Mining System-User Interaction Traces for Use
Case Models Mohammed El-Ramly Eleni
Stroulia Paul Sorenson (presented by Hsiao-Ming
Tsou)?
2
"In previous works, we presented the CelLEST
method for legacy user interface (UI)
reengineering and integration. This method uses
recorded traces of the interaction between the
legacy system and its users as its input, and
does not require examination of the legacy
code." "In this paper, we discuss how the
CelLEST method can be further automated by
discovering the use case models, needed for the
GUI construction, from the interaction traces. We
use knowledge discovery and pattern searching
algorithms to search for frequently occurring
patterns in the traces."
3
Agenda
  • Background
  • Previous Works
  • Current Works
  • Summary
  • Likes/Dislikes

4
Background
  • Often times, new systems under development
    require integration with other systems.
  • Such systems include
  • Off-the-shelf components (COTS)?
  • Usually comes with documentation on how to
    integrate.
  • Legacy systems
  • Usually lacks documentation.
  • Source code, even if available, is often poorly
    structured in terms of application design.
  • How to integrate a new system with an underlying
    legacy system, given a lack of internal
    specifications?
  • Solution data mine user-interface (UI)
    specifications collect input/output traces (use
    cases) of real users using the legacy system, and
    build a behavioral model of the system out of it.

5
Previous Works
  • CelLEST was developed as a method for legacy user
    interface reengineering and integration.
  • "The CelLEST UI reengineering method is
    applicable when the reengineering objective is to
    provide a more usable GUI to current legacy
    services, or to make them available through the
    Web."
  • The CelLEST method consists of two phases
  • Phase 1 Reverse Engineering
  • Produce a state-transition diagram out of use
    cases - recorded traces of the interaction
    between the legacy systems and its users. The
    traces are a series of screen snapshots of the
    user interface.
  • Phase 2 Forward Engineering
  • Construct an abstract specification of a GUI for
    the modeled task, such that it can be implemented.

6
Previous Works (2)?
7
Previous Works (3)?
8
Current Works
  • "In this paper, we describe how patterns of
    frequent user tasks can be discovered
    automatically by applying data mining techniques
    to interaction traces, and hence eliminating the
    need to collect task-specific traces."
  • There are some issues in automatically
    discovering frequent user tasks from interaction
    traces
  • Not all frequent user tasks are interesting - we
    want only the interesting ones.
  • How to define the criteria that makes a task
    interesting
  • How to extract the tasks that are interesting
  • Verifying that those extracted tasks are what we
    are looking for
  • Building use case models for the extracted
    patterns

9
Current Works (2)?
  • Finding common sequences
  • The "interesting"-ness is scored in terms of
    three parameters
  • pattF (pattern frequency
  • pattF (pattern frequency)?
  • density ("accuracy" of the pattern)?

10
Current Works (3)?
11
Likes/Dislikes
  • Likes
  • The diagrams were intuitive.
  • Dislikes
  • Intuitively (and logically), this isn't a very
    sound approach to engineering interfaces on the
    Web. Automation isn't the answer to everything,
    and this is an arguably inherently insecure way
    to build interfaces.
  • Some of the equations in the paper aren't
    explained in terms of reason.
  • Why not just ask the expert user?
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