Presented at Graph Based Tools 2010
Traceability models are often used to describe the correspondence between source and target models of model transformations. Although the visual representation of such models are important for transformation development and application, mostly ad-hoc solutions are present in industrial environments. In this paper we present a user interface component for visualizing traceability models inside transformation frameworks. As generic graph visualization methods fail to emphasize the underlying logical structure of our model, we used domain-specific layouts by customizing generic graph layout algorithms with data from the metamodels used during the transformation. This approach was evaluated, among others, with the traceability models generated by a BPEL verification transformation, which serves as our running example.
PHP Forum Paris 2012: Magic behind the numbers. Software metrics in practiceSebastian Marek
We use static code analysis tools more often these days that create great reports and funky graphs. But do we understand what it all means?
Software metrics tends to be magic numbers for a lot of people, but they don’t really have to be. Seb will introduce you to a few basic, the most popular software metrics and tools. He will explain to you what they mean and how you can use them to produce better software.
Xcore meets IncQuery: How the New Generation of DSLs are MadeIstvan Rath
Slides for the presentation at EclipseCon Europe 2013.
For more details, see
http://www.eclipsecon.org/europe2013/xcore-meets-incquery-how-new-generation-dsls-are-made
http://incquery.net/blog/2013/10/xcore-meets-incquery-how-new-generation-dsls-are-made-talk-eclipsecon-europe-2013
Local search-based pattern matching features in EMF-IncQueryZoltán Ujhelyi
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This document summarizes Praveen Varma's seminar on slicing object-oriented programs. It introduces different types of program slicing including static, dynamic, backward, and forward slicing. It discusses approaches to slicing like control flow graph based and dependence graph based methods. It also covers interprocedural slicing, static and dynamic slicing of object-oriented programs, and applications of program slicing. Limitations of existing work on object-oriented program slicing are presented along with the motivation, objectives, and work done on developing more efficient slicing techniques for object-oriented programs.
This document discusses program slicing techniques for object-oriented programs. It outlines previous approaches to static and dynamic slicing of OOPs and their limitations. The key points are:
1) Early approaches used system dependence graphs but had issues distinguishing between objects and imprecisely modeled polymorphism.
2) Newer work proposes an object-oriented system dependence graph (OSDG) that models objects as trees with members to address earlier limitations.
3) The document also discusses developing efficient algorithms for dynamic slicing of concurrent object-oriented programs.
- The document summarizes techniques for slicing object-oriented programs. It discusses static and dynamic slicing, and limitations of previous approaches.
- It proposes a new intermediate representation called the Object-Oriented System Dependence Graph (OSDG) to more precisely capture dependencies in object-oriented programs. The OSDG explicitly represents data members of objects.
- An edge-marking algorithm is presented for efficiently performing dynamic slicing of object-oriented programs using the OSDG. This avoids recomputing the entire slice after each statement.
This document discusses various software metrics that can be used to analyze Ruby on Rails code quality, including lines of code, test coverage, code complexity, and cyclomatic complexity. It provides examples of metrics for two sample Rails applications called Mephisto and Typo and notes that tracking metrics over time is more useful than a single snapshot for understanding code quality issues.
Industry - Relating Developers' Concepts and Artefact Vocabulary in a Financ...ICSM 2011
Paper: Relating Developers' Concepts and Artefact Vocabulary in a Financial
Software Module
Authors: Tezcan Dilshener and Michel Wermelinger
Session: Industry Track 2 - Reverse Engineering
PHP Forum Paris 2012: Magic behind the numbers. Software metrics in practiceSebastian Marek
We use static code analysis tools more often these days that create great reports and funky graphs. But do we understand what it all means?
Software metrics tends to be magic numbers for a lot of people, but they don’t really have to be. Seb will introduce you to a few basic, the most popular software metrics and tools. He will explain to you what they mean and how you can use them to produce better software.
Xcore meets IncQuery: How the New Generation of DSLs are MadeIstvan Rath
Slides for the presentation at EclipseCon Europe 2013.
For more details, see
http://www.eclipsecon.org/europe2013/xcore-meets-incquery-how-new-generation-dsls-are-made
http://incquery.net/blog/2013/10/xcore-meets-incquery-how-new-generation-dsls-are-made-talk-eclipsecon-europe-2013
Local search-based pattern matching features in EMF-IncQueryZoltán Ujhelyi
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This document summarizes Praveen Varma's seminar on slicing object-oriented programs. It introduces different types of program slicing including static, dynamic, backward, and forward slicing. It discusses approaches to slicing like control flow graph based and dependence graph based methods. It also covers interprocedural slicing, static and dynamic slicing of object-oriented programs, and applications of program slicing. Limitations of existing work on object-oriented program slicing are presented along with the motivation, objectives, and work done on developing more efficient slicing techniques for object-oriented programs.
This document discusses program slicing techniques for object-oriented programs. It outlines previous approaches to static and dynamic slicing of OOPs and their limitations. The key points are:
1) Early approaches used system dependence graphs but had issues distinguishing between objects and imprecisely modeled polymorphism.
2) Newer work proposes an object-oriented system dependence graph (OSDG) that models objects as trees with members to address earlier limitations.
3) The document also discusses developing efficient algorithms for dynamic slicing of concurrent object-oriented programs.
- The document summarizes techniques for slicing object-oriented programs. It discusses static and dynamic slicing, and limitations of previous approaches.
- It proposes a new intermediate representation called the Object-Oriented System Dependence Graph (OSDG) to more precisely capture dependencies in object-oriented programs. The OSDG explicitly represents data members of objects.
- An edge-marking algorithm is presented for efficiently performing dynamic slicing of object-oriented programs using the OSDG. This avoids recomputing the entire slice after each statement.
This document discusses various software metrics that can be used to analyze Ruby on Rails code quality, including lines of code, test coverage, code complexity, and cyclomatic complexity. It provides examples of metrics for two sample Rails applications called Mephisto and Typo and notes that tracking metrics over time is more useful than a single snapshot for understanding code quality issues.
Industry - Relating Developers' Concepts and Artefact Vocabulary in a Financ...ICSM 2011
Paper: Relating Developers' Concepts and Artefact Vocabulary in a Financial
Software Module
Authors: Tezcan Dilshener and Michel Wermelinger
Session: Industry Track 2 - Reverse Engineering
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Model-Driven Software Development - Strategies for Design & Implementation of...Eelco Visser
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Video here: http://on-demand.gputechconf.com/gtc/2013/video/S3032-Advanced-Scenegraph-Rendering-Pipeline.mp4
The document discusses analyzing Android kernels for security vulnerabilities. It describes binary analysis techniques like disassembling kernels and fuzzing common targets like mmap and ioctl calls. A case study shows discovering a vulnerability in an audio driver through fuzzing its mmap function. The document also recommends approaches for static source code analysis like preprocessing Android kernel source with LLVM tools and using the Clang static analyzer to find issues. Suggestions are provided for smartphone manufacturers and SOC vendors to improve security practices.
1) Graph databases can represent data and relationships in ways that are more natural than relational databases.
2) However, different graph database implementations use different internal representations and APIs, making it hard to optimize queries across systems or build applications that work with multiple databases.
3) The property graph model has emerged as a common standard that represents graphs with nodes, relationships, and key-value attributes on both nodes and relationships.
The method identifies likely refactored code by comparing call trees generated from execution traces of two program revisions. It labels pairs of nodes as likely refactored if their contexts are equal and contents similar. A difference call graph is generated by extracting and merging subtrees of the call trees. The method was applied to an open source program, identifying differences within hundreds of lines across five source files at a high level.
This document describes a primitive processing and advanced shading architecture for embedded systems. It features a vertex cache and programmable primitive engine that can process fixed and variable size primitives with reduced memory bandwidth requirements. The architecture includes a configurable per-fragment shader that supports various shading models using dot products and lookup tables stored on-chip. This hybrid design aims to bring appealing shading to embedded applications while meeting limitations on gate size, power consumption, and memory traffic growth.
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UiPath Test Automation using UiPath Test Suite series, part 6
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element
model
element
5. Graph
layout
algorithms
Generic
Layout
Algorithms
o Considers
only
nodes
and
arcs
o Aesthe<c
criteria
op<miza<on
Domain-‐specific
Layout
Algorithms
o Uses
model-‐specific
informa<on
11. Requirements
1. Minimize
node overlapping
2. Minimize
arc crossing
3. Place
corresponding
model
elements
close
4. Separate
source,
target
and
traceability
models
5. Maintain
the mental map
during
changes
12. Layout
for
traceability
visualiza<on
–
I.
Based
on
grid
layout
o Simple
layout
o Separa<on
of
model
parts
o No
node
overlapping
• Requirement
1.
✔
Filters
o Based
on
type
rela<ons
o Removing
intramodel
rela<ons
13. Layout
for
traceability
visualiza<on
–
I.
Based
on
grid
layout
o Simple
layout
process: recID:
r_s S2ID: rece
o Separa<on
of
model
identifier
tProcess parts
scope2id tRec
o No
node
overlapping
r_t
S2ID: receive: V2ID: proc
• Requirement
1.
✔
tReceive
scope2id var2id tPro
Filters
sFinished: inputID: R2ID: S2
o Based
on
type
rela<ons
identifier identifier rec2id scop
o Removing
intramodel
rela<ons
input: processID: V2
tVariable identifier var
14. Layout
for
traceability
visualiza<on
–
II.
Ordering
o Placing
corresponding
elements
next
to
each
other
• Requirement
3.
✔
o Separates
source
and
target
model
elements
• Requirement
4.
(Only
in
case
of
1:1
correspondence)
o Short
edges
–
Few
edge
crossings
• Requirement
2.
✔
15. Layout
for
traceability
visualiza<on
–
II.
Ordering
S2ID: receive: R2ID: recID: rec
o Placing
corresponding
elements
next
to
each
other
ope2id tReceive rec2id identifier tRe
• Requirement
3.
✔
V2ID: o Separates
source
and
target
model
elements
process: S2ID: processID: pro
ar2id • Requirement
4.
(Only
in
case
of
1:1
correspondence)
tProcess scope2id identifier tPr
o Short
edges
–
Few
edge
crossings
R2ID: S2ID: sFinished: input: in
• Requirement
2.
✔
ec2id scope2id identifier tVariable tVa
V2ID: inputID:
var2id identifier
16. Layout
for
traceability
visualiza<on
–
II.
Ordering
o Placing
corresponding
elements
next
to
each
other
• Requirement
3.
✔
o Separates
source
and
target
model
elements
• Requirement
4.
(Only
in
case
of
1:1
correspondence)
o Short
edges
–
Few
edge
crossings
• Requirement
2.
✔
Further
enhancements
o Handling
traceability
links
with
mul<ple
source
or
target
connec<ons
• Requirement
4.
✔
17. Layout
for
traceability
visualiza<on
–
II.
Ordering
D: o Placing
corresponding
elements
next
to
each
other
receive: R2ID: recID:
ifier tReceive
• Requirement
3.
✔
rec2id identifier
o Separates
source
and
target
model
elements
ssID: process: S2ID: processID:
ifier • Requirement
4.
(Only
in
case
of
1:1
correspondence)
tProcess scope2id identifier
o Short
edges
–
Few
edge
crossings
hed: • Requirement
2.
✔
S2ID: sFinished:
ifier scope2id identifier
Further
enhancements
tID: o Handling
traceability
links
with
mul<ple
source
or
input: V2ID: inputID:
ifier target
connec<ons
var2id
tVariable identifier
• Requirement
4.
✔
18. Integra<on
Graph
visualiza<on
component
for
VIATRA2
o User-‐selected
model
elements
to
visualize
o Reacts
to
model
space
changes
• Possibly
during
transforma<ons
Traceability
visualiza<on
o Domain-‐specific
layout
algorithm
used
o Aeer
model
changes
relayou<ng
20. Evalua<on
Poten<al
problems
o Informa<on
loss
• Hiding
internal
structure
of
source
and
target
models
o Large
space
consump<on
• A
row
is
required
for
every
traceability
record
21. Conclusion
and
Future
Plans
Domain-‐specific
layout
algorithm
o Traceability
models
o Fulfills
requirements
o Integrated
into
transforma<on
development
environment
Future
plans
o Displaying
structure
of
source/target
models
o Other
domain-‐specific
visualiza<ons