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Palant

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Palant r: Coordinating Distributed CM Workspaces Anita Sarma, Andr van der Hoek Institute for Software Research University of California, Irvine – PowerPoint PPT presentation

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Title: Palant


1
Palantír CoordinatingDistributed CM Workspaces
  • Anita Sarma, André van der Hoek Institute for
    Software ResearchUniversity of California,
    Irvineasarma, andre_at_ics.uci.edu

2
A Typical Development Scenario
CMrepository
3
Problem!
  • A CM workspace in reality provides two kinds of
    isolation
  • Good isolation
  • Shields current work from others changes
  • Bad isolation
  • Hides knowledge of what artifacts other
    developers are changing

Break bad isolation, such that developers are
aware of each others changes, but current work
remains shielded from other peoples changes
4
The Solution
New situation Share information when others
perform CM operations, and not just when I
perform a CM operation
Old situation Information available only when I
carry out a CM operation or explicitly request
information
5
Many Difficult Questions
  • Which information must be shared?
  • How is the information presented?
  • How can information overload be avoided?
  • Can this approach scale?
  • Does it actually help developers coordinate
    better?

Goal demonstrate feasibility of workspace
awareness first!
6
Palantír Architecture
Event Service
Palantír Internal State
Palantír Internal State
CMrepository
7
Populating a Workspace
Ellen populates her workspace withdirectories
files
8
Making Changes in the Workspace
  • Ellen makes changes
  • edit creates redo.c
  • write.c dict.c
  • ? denotes artifacts are
  • undergoing changes
  • Green color denotes
  • changes by workspace
  • owner

9
Committing Changes
Ellen has finished her changes and committed
them ? has changed to ! denoting changes
are known Blue bars denote Severity of changes
10
More Changes (by Other Developers)
Layers denote concurrent changes Other authors
denoted by shades of red color Layers can be
brought forward
11
Critical Feature Pair-Wise Comparisons
12
Removing and Moving Artifacts
Icons denote CM activities namely move and
remove
13
Metadata
Extensive metadata from CM systems Annotated
with time of event occurrence Choice of author
color from palette Back/ forward button for easy
traversal
14
Scalability Information Overload
  • Application
  • Manage only relevant artifacts
  • Artifacts present in my workspace
  • Leverages event service filtering
  • Internal data structure versus visualization
  • User cognition
  • Pair-wise comparisons
  • Stack shows linear evolution in time
  • Filter data per user criteria
  • Sorting of artifacts per severity / date

15
Experience
  • Integration with two CM systems
  • CVS (optimistic)
  • RCS (pessimistic)
  • Relatively easy to implement
  • 500 lines of Java code each
  • Wraps each CVS/RCS command with a PalantirCVS/RCS
    command that invokes CVS/RCS and emits relevant
    events
  • Not complete, but the essence (60) is there

16
Related Work
  • Configuration Management
  • Coven
  • COOP/Orm
  • CSCW
  • MMM, ShrEdit
  • BSCW, Edit wear and read wear
  • Software Evolution Visualization
  • Code decay
  • 3D visualization

17
Conclusions
  • Palantír is a prototype that
  • brings awareness to distributed CM workspaces
  • shows pair-wise conflict
  • provides a simple measure of severity
  • Future Work
  • Examine change impact analysis for both atomic
    and compound artifacts
  • Additional visualizations
  • Case studies to determine effectiveness

18
(No Transcript)
19
Conflicts Do Happen!
  • Large systems, multiple developers lead to
    conflicting changes.
  • Perry Votta Files that have high degrees of
    parallel changes also tend to have more defects.
  • Perry Votta Overlapping time schedule of
    successive releases suggest that features for
    different releases are being developed almost
    concurrently.
  • Awareness of others changes helps in conflict
    resolution
  • Elvins success providing a way to gather and
    redistribute collaboration-focused information
    during everyday use.

20
Conflicts
  • Direct Conflicts Overlapping changes to the same
    artifact
  • Indirect Conflicts Changes to one artifact
    modifying the behavior of another artifact
  • Implicit domain knowledge of developers.
  • Future Work trace dependencies

21
Agile Processes
  • Agile processes have fewer conflicts, but
    conflicts exist nonetheless
  • Increased awareness necessitated by higher number
    of check-ins
  • Need to synchronize workspace only for
    significant changes, and not for all changes in
    the workspace
  • A number of organizations, do not follow agile
    processes (NASA)

22
Event Frequency
  • Event generated on check-in / check-out and other
    CM functions
  • Depending on the CM system in question.
  • Push Model events generated when others perform
    CM operations.
  • Potential to leverage virtual file systems
  • Track smaller units of changes (save /edit)
  • Especially for severity calculations
  • Develop simple watch mechanisms

23
Existing CM functionality
  • CVS watches
  • E-mail delivery mechanism is crude
  • Scaling problems
  • Coven softlocks
  • Need to specify intended changes beforehand,
    which is difficult to do
  • Only watches for direct conflicts

24
P2P
  • Groove
  • Siena

25
Pair-Wise Comparisons
dev 3
dev1-All summarizes all comaprisons dev1-dev?
only those conflicts between dev1 and the other
dev
26
Visualization Features
  • Different views with different trade-offs
  • Amount of information versus level of
    intrusiveness
  • Scrolling marquee, fully graphical, tabular
  • Configurable
  • Selection of relevant developers, events,
    timeframes
  • Scalable
  • Internal data structure versus actual
    visualization
  • Pair-wise conflicts
  • Filter data on user criteria
  • Sorting per severity or change impact
  • Extensive metadata
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