Specification and Detection of SOA Antipatterns

Specification and Detection of
SOA Antipatterns
Francis Palma
francis.palma@polymtl.ca
Ptidej Team, DGIGL, École Polytechnique de Montréal
Latece, Département d'informatique, Université du Québec à Montréal
Supervisors: Dr. Naouel Moha and Dr. Yann-Gaël Guéhéneuc

B.Sc. in Computer Science and Engineering
2005
2

2005
M.Sc. in Software Engineering
2010
2

2005
2010
Research Collaborator
2011 Jan – 2011 Aug
2

2005
2010
Research Collaborator
2011 Jan – 2011 Aug
PhD Candidate…
2011 Fall to present
2

Background
• Traditional architectural models vs. Service-Oriented Architecture (SOA)
• Service-based Systems (SBSs) [Palma et al. 2013]
• Different SOA technological/architectural choices:
o SOAP-based Web service
o SCA (Service Component Architecture)
o REST-style (REpresentational State Transfer), etc.
Specification and Detection of SOA Antipatterns 3

SOA Technologies
XML-RPC-based Web services SOAP-based Web services
Service Component Architecture REST-style

An Example
SBSs evolve to fit new user requirements, execution contexts:
- may degrade design and quality of service (QoS)
- may cause the appearance of common poor solutions: Antipatterns

Motivation
• Maintenance and evolution phase consumes resources of more than 60%
(Harrison and Cook, 1990)
• SOA antipatterns:
- evolution may introduce antipatterns or
- existing antipatterns might hinder evolution
Main objective:
To ease the maintenance and evolution of SBSs by detecting SOA antipatterns
• Detection of SOA antipatterns
- assessing statically: the design quality
- assessing dynamically: the QoS

Antipatterns Example
Tiny Service
 Few Methods
 Low Cohesion
 Very High Coupling

Antipatterns Example
Tiny Service Multi Service
 Many Methods
 Very Low Cohesion
 High Response Time
 Low Availability
 Few Methods
 Low Cohesion
 Very High Coupling

More Examples…
DropBox Server Response 1:
Header: {
x-frame-options=[SAMEORIGIN],
x-dropbox-request-id=[b9a25269beb2c75fa7d7e21e1638bb9d],
Connection=[keep-alive],
Server=[nginx],
pragma=[no-cache],
cache-control=[no-cache],
x-server-response-time=[64],
x-dropbox-http-protocol=[None],
set-cookie=[gvc=MjExODUyMTE…..
expires=Tue, 26 Mar 2019 18:34:14 GMT],
Transfer-Encoding=[chunked],
Date=[Thu, 27 Mar 2014 18:34:14 GMT],
Content-Type=[application/json],
X-RequestId=[c64da98881e565a90a5dd9aecea9f049]
}
Body: {
"hash": "f9d780e7655fe43261b4de9ec9a926eb",
"revision": 2,
"rev": "21e8a5a19",
"thumb_exists": false,
"bytes": 0,
"modified": "Tue, 28 Jan 2014 21:45:31 +0000",
"path": "/test",
"is_dir": true,
"icon": "folder",
"root": "dropbox",
"contents": [ {
"revision": 3,
"rev": "31e8a5a19",
"bytes": 4,
"modified": "Tue, 28 Jan 2014 21:46:30 +0000",
"client_mtime": "Tue, 28 Jan 2014 21:46:30",
"path": "/test/test.txt",
"is_dir": false,
"icon": "page_white_text",
"root": "dropbox",
"mime_type": "text/plain",
"size": "4 bytes“
}
],
"size": "0 bytes“
} 8

More Examples…
Header: {
Server=[nginx],
pragma=[no-cache],
Date=[Thu, 27 Mar 2014 18:34:14 GMT],
}
Body: {
"revision": 2,
"rev": "21e8a5a19",
"bytes": 0,
"modified": "Tue, 28 Jan 2014 21:45:31 +0000",
"path": "/test",
"is_dir": true,
"icon": "folder",
"root": "dropbox",
"contents": [ {
"revision": 3,
"rev": "31e8a5a19",
"bytes": 4,
"modified": "Tue, 28 Jan 2014 21:46:30 +0000",
"is_dir": false,
"root": "dropbox",
"size": "4 bytes“
}
],
"size": "0 bytes“
}
No hyperlinks to follow!No hyperlinks to follow!
8

More Examples…
Header: {
Server=[nginx],
pragma=[no-cache],
Date=[Thu, 27 Mar 2014 18:34:14 GMT],
}
Body: {
"revision": 2,
"rev": "21e8a5a19",
"bytes": 0,
"modified": "Tue, 28 Jan 2014 21:45:31 +0000",
"path": "/test",
"is_dir": true,
"icon": "folder",
"root": "dropbox",
"contents": [ {
"revision": 3,
"rev": "31e8a5a19",
"bytes": 4,
"modified": "Tue, 28 Jan 2014 21:46:30 +0000",
"is_dir": false,
"root": "dropbox",
"size": "4 bytes“
}
],
"size": "0 bytes“
} 8

More Examples…
Header: {
x-dropbox-request-id=[cd12e1e844327464485842b11b530071]
Server=[nginx],
pragma=[no-cache],
set-cookie=[gvc=MzIwNTkxODQzNjQy.....;
expires=Sat, 06 Apr 2019 22:11:47 GMT;
Date=[Mon, 07 Apr 2014 22:11:47 GMT],
X-RequestId=[d509463440ada422459335fd3c71d309]
}
Body: {
"referral_link": "https://db.tt/AaWjP9HP",
"display_name": "Francis Palma",
"uid": 118690394,
"country": "CA",
"quota_info": {
"datastores": 0,
"shared": 293074019,
"quota": 2147483648,
"normal": 1661304356
},
"team": null,
"email": "francis.polymtl@yahoo.ca"
}
Header: {
Server=[nginx],
pragma=[no-cache],
Date=[Thu, 27 Mar 2014 18:34:14 GMT],
}
Body: {
"revision": 2,
"rev": "21e8a5a19",
"bytes": 0,
"modified": "Tue, 28 Jan 2014 21:45:31 +0000",
"path": "/test",
"is_dir": true,
"icon": "folder",
"root": "dropbox",
"contents": [ {
"revision": 3,
"rev": "31e8a5a19",
"bytes": 4,
"modified": "Tue, 28 Jan 2014 21:46:30 +0000",
"is_dir": false,
"root": "dropbox",
"size": "4 bytes“
}
],
"size": "0 bytes“
} 8

More Examples…
Header: {
x-dropbox-request-id=[cd12e1e844327464485842b11b530071]
Server=[nginx],
pragma=[no-cache],
set-cookie=[gvc=MzIwNTkxODQzNjQy.....;
expires=Sat, 06 Apr 2019 22:11:47 GMT;
Date=[Mon, 07 Apr 2014 22:11:47 GMT],
X-RequestId=[d509463440ada422459335fd3c71d309]
}
Body: {
"referral_link": "https://db.tt/AaWjP9HP",
"display_name": "Francis Palma",
"uid": 118690394,
"country": "CA",
"quota_info": {
"datastores": 0,
"shared": 293074019,
"quota": 2147483648,
"normal": 1661304356
},
"team": null,
"email": "francis.polymtl@yahoo.ca"
}
Header: {
Server=[nginx],
pragma=[no-cache],
Date=[Thu, 27 Mar 2014 18:34:14 GMT],
}
Body: {
"revision": 2,
"rev": "21e8a5a19",
"bytes": 0,
"modified": "Tue, 28 Jan 2014 21:45:31 +0000",
"path": "/test",
"is_dir": true,
"icon": "folder",
"root": "dropbox",
"contents": [ {
"revision": 3,
"rev": "31e8a5a19",
"bytes": 4,
"modified": "Tue, 28 Jan 2014 21:46:30 +0000",
"is_dir": false,
"root": "dropbox",
"size": "4 bytes“
}
],
"size": "0 bytes“
}
8

Alchemy Client Request:
Header: {
content-type=[application/xml],
connection=[keep-alive],
host=[access.alchemyapi.com],
accept=[application/xml],
path=/calls/url/URLGetRankedNamedEntities?...
get /calls/url/urlgetrankednamedentities?...
user-agent=[Apache CXF 2.7.5],
pragma=[no-cache]
}
Alchemy Server Response:
Header: {
content-type=[application/xml; charset=utf-8],
access-control-allow-origin=[*],
content-length=[506],
server=[nginx],
date=[Fri, 15 Aug 2014 19:30:28 GMT]
}
Body:
<?xml version="1.0" encoding="UTF-8"?>
<results>
<status>OK</status>
<usage>By accessing AlchemyAPI or using
information generated by AlchemyAPI, you are
agreeing to be bound by the AlchemyAPI Terms of
Use:http://www.alchemyapi.com/company/terms.html
</usage>
<url>http://www.cnn.com/2011/09/28/us/...</url>
<language>english</language>
<microformats>
<a href="/cnn" rel="tag">cnn</a>
</microformats>
</results>
More Examples…
9

YouTube Client Request:
Header: {
host=[www.googleapis.com],
get/youtube/v3/subscriptions?mine=true&part=snippet&access_token=..
http/1.1=[null],
pragma=[no-cache]
}
YouTube Server Response:
Header: {
content-type=[application/json;
charset=UTF-8],
cache-control=[private, max-age=300,must-revalidate,no-transform],
x-xss-protection=[1; mode=block],
x-content-type-options=[nosniff],
expires=[Tue, 14 Oct 2014 17:57:26 GMT],
etag=["PSjn-HSKiX6orvNhGZvglLI2lvk/PZz4CABe3efkukxgHuo_yc_qoJs"],
server=[GSE],
alternate-protocol=[443:quic,p=0.01],
date=[Tue, 14 Oct 2014 17:57:26 GMT],
vary=[X-Origin, Referer, Origin]
}
Body: {
"kind": "youtube#videoListResponse",
"etag": ""PSjn-HSKiX6orvNhGZvglLI2lvk/PZz4CABe3efkukxgHuo_yc_qo",
"pageInfo": { "totalResults": 1, "resultsPerPage": 1 }, “
items": [ {
"kind": "youtube#video",
"etag": ""PSjn- HSKiX6orvNhGZvglLI2lvk/9hUt36nrZXNpfqDh...",
"id": "SRQtW-sjDGw"
} ]
}
More Examples…
Alchemy Client Request:
Header: {
host=[access.alchemyapi.com],
path=/calls/url/URLGetRankedNamedEntities?...
get /calls/url/urlgetrankednamedentities?...
pragma=[no-cache]
}
Alchemy Server Response:
Header: {
content-type=[application/xml; charset=utf-8],
access-control-allow-origin=[*],
server=[nginx],
date=[Fri, 15 Aug 2014 19:30:28 GMT]
}
Body:
<?xml version="1.0" encoding="UTF-8"?>
<results>
<status>OK</status>
<usage>By accessing AlchemyAPI or using
information generated by AlchemyAPI, you are
agreeing to be bound by the AlchemyAPI Terms of
Use:http://www.alchemyapi.com/company/terms.html
</usage>
<url>http://www.cnn.com/2011/09/28/us/...</url>
<language>english</language>
<microformats>
<a href="/cnn" rel="tag">cnn</a>
</microformats>
</results>
9

SBSs + Antipatterns = ?
An automatic approach to detect SOA antipatterns in SBSs may support their
easy maintenance and evolution.
Poor performance
Hard for comprehension
Low maintainability
Hard for evolution
Expensive maintenance life
Low reusability
+

Research Problems
• No specification of SOA antipatterns
• No dedicated approach and framework for the detection of SOA
antipatterns in SBSs
• Impact of SOA antipatterns is not yet verified in service-based systems

Research Questions
RQ1:
Do service-oriented antipatterns differ from the object-oriented antipatterns?
RQ2:
Do the service-oriented antipatterns vary in diverse SBSs developed using
different SOA technologies?
RQ3:
Can we efficiently specify and detect SOA antipatterns regardless of SOA
technologies?
RQ4:
How do the SOA antipatterns impact the maintenance and evolution of SBSs?

Related Work

Related Work: Summary
What to Detect/
Technology OO CBSs SOA Other
Code Smells
Emden and Moonen, 2002
Khomh et al., 2009
Moha et al., 2010
Luo et al., 2010
Maneerat and Muenchaisri, 2011
X X X
Antipatterns
Correa et al., 2000
Marinescu, 2001, 2004
Boussaidi et al., 2005
Kreimer, 2005, Biehl, 2006
Salehie et al., 2006
Choinzon and Ueda, 2006
Rao and Reddy, 2007
Khomh et al., 2009, 2011
Llano and Pooley, 2009
Moha et al., 2010
Cortellessa et al., 2010
Luo et al., 2010, Settas et al., 2011
Stoianov and Sora, 2010
Kessentini et al., 2011
Parsons and Murphy, 2004
Parsons and Murphy, 2008
Chis, 2008 X Wong et al., 2010
Fourati et al., 2011
Design Patterns
Kramer and Prechelt, 1996
Antoniol et al., 1998
Heuzeroth et al., 2003
Tsantalis et al., 2006
Kaczor et al., 2006
Guéhéneuc and Antoniol, 2008
Stoianov and Sora, 2010
Maggioni and Arcelli, 2010
Kaczor et al., 2010
Rasool and Mäder, 2011
X Di Penta et al., 2007 X

Introduction: Contribution
With the goal to assess the design and QoS of SBSs:
• SODA (Service Oriented Detection for Antipatterns), a novel and
innovative approach
• SOFA (Service Oriented Framework for Antipatterns), a framework,
- to specify SOA antipatterns and detect them automatically
- to perform static and dynamic analyses

Proposed SODA Approach

SOA Antipatterns Tree

Domain Analysis
“Multi Service also known as God Object
corresponds to a service that implements a
multitude of methods related to different
business and technical abstractions. This
aggregates too much into a single service, such
a service is not easily reusable because of the
low cohesion of its methods and is often
unavailable to end-users because of its overload,
which may induce a high response time”
(Dudney et al., 2003)
Textual
Description of
Antipatterns
1.Specifications
Rule Card
2.Generation
Detection
Algorithms
3.Detection
SBSTemplate
Services
involved in
antipatterns

Antipatterns Specification Language
Textual
Description of
Antipatterns
1.Specifications
Rule Card
2.Generation
Detection
Algorithms
3.Detection
SBSTemplate
Services
involved in
antipatterns

Specification Examples
1 RULE_CARD: GodObjectWebService {
2 RULE: GodObjectWebService { INTER LowCohesion MultiOperation HighResponseTime LowAvailability };
3 RULE: LowCohesion { COH VERY_LOW };
4 RULE: MultiOperation { NOD HIGH };
5 RULE: HighResponseTime { RT VERY_HIGH };
6 RULE: LowAvailability { A LOW };
7 };
1 RULE_CARD: GodComponent {
2 RULE: GodComponent { INTER HighEncapsulatedService MultiMethod HighParameter };
3 RULE: HighEncapsulatedService { NOSE HIGH };
4 RULE: MultiMethod { NMD VERY_HIGH };
5 RULE: HighParameter { TNP VERY_HIGH };
6 };
Textual
Description of
Antipatterns
1.Specifications
Rule Card
2.Generation
Detection
Algorithms
3.Detection
SBSTemplate
Services
involved in
antipatterns

Algorithm Generation
Textual
Description of
Antipatterns
1.Specifications
Rule Card
2.Generation
Detection
Algorithms
3.Detection
SBSTemplate
Services
involved in
antipatterns
Model Driven Engineering (MDE)
Parsing
1
Visiting &
Replacing
2
Templates
Models of Rule Cards
Rule
Cards
Algorithms

SOFA Detection Framework
Textual
Description of
Antipatterns
1.Specifications
Rule Card
2.Generation
Detection
Algorithms
3.Detection
SBSTemplate
Services
involved in
antipatterns

Validation: Subjects
Service Component Architecture SOAP-based Web services
1. Multi Service
2. Tiny Service
3. Sand Pile
4. Chatty Service
5. The Knot
6. Nobody Home
7. Duplicated Service
8. Bottleneck Service
9. Service Chain
10. Data Service
11. God Component
12. Bloated Service
13. Stovepipe Service
1. God Object Web Service
2. Fine Grained Web Service
3. Ambiguous Name
4. Duplicated Web Service
5. Chatty Web Service
6. Low Cohesive Operations in the Same Port
7. Redundant Port
8. Maybe It is Not RPC
9. Data Web Service
10. CRUDy Interface
REST
1. Ignoring Status Code
2. Tunneling Everything Through GET
3. Tunneling Everything Through POST
4. Forgetting Hypermedia
5. Ignoring Caching
6. Misusing Cookies
7. Ignoring MIME Types
8. Breaking Self Descriptiveness
9. Contextless Resource Names
10. Singularised URI Nodes

Validation: Objects
Service Component Architecture
Home-Automation – an SCA-based demo system to automate household
FraSCAti – the largest open source SCA system and runtime library for SCA apps
REST APIs
12 REST APIs including BestBuy, DropBox, Facebook, Twitter, and YouTube
115 RESTful method calls
SOAP-based Web Services
120+ Weather- and Finance-related SOAP Web services

*Availability 100%
Detection Result: Multi Service in SCA
Mediator

Partial Results on SCA (FraSCAti)
Antipattern
Name
Services
Involved
Metrics Time Precision Recall
Tiny Service sca-parser NMD=1; CPL=0.56 0.067s
[1/1]
100%
[1/1]
100%
Bottleneck
Service
sca-composite
sca-parser
RT=41ms;CPL=0.96;
NIR=16;NOR=8
RT=45ms;CPL=0.84;
NIR=16;NOR=5
0.086s
[1/2]
50%
[1/1]
100%

Summary Results on SCA
SCA Systems Average Precision Average Recall
Average
Detection Time
Home-Automation 92.5% 100% 0.387s
FraSCAti 89.17% 95% 0.089s
Average 90.84% 97.5% 0.238s

Detection Results in Web Services

51
Detection of Chatty Web Service antipattern in TaarifCustoms Web service.
RULE_CARD: ChattyWebService {
RULE: ChattyWebService {INTER LowCohesion HighDataAccessor MultiOperation LowPerformance};
RULE: LowCohesion {COH LOW};
RULE: HighDataAccessor {ANAO VERY_HIGH};
RULE: MultiOperation {NOD HIGH};
RULE: LowPerformance {INTER HighRT LowA};
RULE: HighRT {RT HIGH};
RULE: LowA {A LOW};
};
23
 Low Cohesion
 High Accessor Methods
 High Methods
 High Response Time
 Low Availability
Detection Result: Chatty Web Service
Specification and Detection of SOA Antipatterns

Summary Results on Web Services
Experiments
Detection
Times
Detected
(True Positive)
Manually
Validated
Precision Recall
13 Weather
Web services
102.19s
7
(6)
6 85.71% 100%
109 Finance
Web services
192.91s
24
(22)
22 91.67% 100%
Average - - - 88.69% 100%

SODA-R approach for REST
SODA-R: Service Oriented Detection for Antipatterns in REST
Step 1
Analysis
Description of
REST patterns
and antipatterns
Heuristics
Step 2
Algorithms
Detection
Detected
REST patterns
and antipatterns
REST APIs
Implementation
Application
of Algorithms

Detection Heuristics
1: ENTITY-LINKING(response-header, response-body, http-method)
2: body-links[]  EXTRACT-ENTITY-LINKS(response-body)
3: header-link  response-header.getValue(“Link”)
4: if (http-method = GET and (LENGTH(body-links[]) = 1 or header-link  NIL)) or
5: (http-method = POST and (“Location:”  response-header.getKeys() or
6: LENGTH(body-links[]) = 1))) then
7: print “Entity Linking detected”
8: end if
Heuristic of Entity Linking pattern
1: FORGET-HYPER-MEDIA(response-header, response-body, http-method)
2: body-links[]  EXTRACT-ENTITY-LINKS(response-body)
3: header-link  response-header.getValue(“Link”)
4: if (http-method = GET and (LENGTH(body-links[]) = 0 or header-link = NIL)) or
5: (http-method = POST and (“Location:”  response-header.getKeys() and
6: LENGTH(body-links[]) = 0))) then
7: print “Forgetting Hypermedia detected”
8: end if
Heuristic of Forgetting Hypermedia antipattern

Detection Phase
Heuristics
Detection
Algorithms
Service
Interfaces
Step 2.2
Dynamic
Invocation
REST requests
and responses
Client Authentication
REST
APIs
Detected
REST patterns
and antipatterns
Step 2.3
ApplicationImplementation
Algorithms
Interfaces
Step 2.1

Validation: Objects in REST
REST APIs Online Documentations
alchemyapi.com/api/
bbyopen.com/developer/
dev.bitly.com/api.html
charlieharvey.org.uk/about/api/
dropbox.com/developers/core/docs/
developers.facebook.com/docs/graph-api/
developer.musicgraph.com/api-docs/overview/
github.com/blackducksw/ohloh_api/
integrate.teamviewer.com/en/develop/documentation/
dev.twitter.com/docs/api/
developers.google.com/youtube/v3/
developer.zappos.com/docs/api-documentation/

Detection Results for Antipatterns
-
0.50
1.00
1.50
2.00
2.50
3.00
3.50
average_antipatterns_instance

-
0.50
1.00
1.50
2.00
2.50
3.00
3.50
average_patterns_instances
Detection Results for Patterns

-
0.50
1.00
1.50
2.00
2.50
3.00
3.50
Detection Results: Antipatterns vs. Pattern

Forgetting_Hypermedia Entity_Linking
-
0.50
1.00
1.50
2.00
2.50
3.00
3.50
Detection Results: Antipatterns vs. Pattern

Example Detection Results
(7)Alchemy-
(12)BestBuy-
(3)Bitly-
(4)CharlieHarvey-
(15)DropBox-
(29)Facebook-
(8)Musicgraph-
(3)Ohloh-
(8)TeamViewer-
(10)Twitter-
(9)YouTube-
(7)Zappos-
(115)Total-
AveragePrecision-
Recall-
DetectionTime-
Forgetting
Hypermedia
1/1 0/0 2/2 0/0 9/10 8/8 7/7 0/0 3/3 4/4 2/3 0/0 36/38 94.58%
19.54s
1/1 0/0 2/2 0/0 9/9 8/8 7/7 0/0 3/3 4/4 2/2 0/0 36/36 100%
Entity
Linking
6/6 11/11 1/1 4/4 3/3 21/21 1/1 2/2 1/1 5/5 6/6 4/4 65/65 100%
19.90s
6/6 11/11 1/1 4/4 3/3 21/21 1/1 2/2 1/1 5/5 6/7 4/4 65/66 98.81%

H1: Generality
Our DSL allows the specification of various SOA antipatterns, from
simple to more complex ones
1 RULE_CARD: LowCohesiveOperations {
2 RULE: LowCohesiveOperations { INTER MultiOperation LowCohesivePT };
4 RULE: LowCohesivePT { ARIO LOW };
5 };

H1: Generality
Our DSL allows the specification of various SOA antipatterns, from
simple to more complex ones
1 RULE_CARD: CRUDyInterface {
2 RULE: CRUDyInterface { INTER ChattyInterface HighCRUDOperation };
3 RULE: ChattyInterface { RULE_CARD: ChattyWebService };
4 RULE: HighCRUDOperation { NCO > 1 };
5 };
1 RULE_CARD: ChattyWebService {
2 RULE: ChattyWebService { INTER LowCohesion HighDataAccessor
MultiOperation LowPerformance };
3 RULE: LowCohesion { COH LOW };
4 RULE: HighDataAccessor { ANAO VERY_HIGH };
6 RULE: LowPerformance { INTER HighRT LowA };
7 RULE: HighRT { RT HIGH };
8 RULE: LowA { A LOW };
9 };
1 RULE_CARD: LowCohesiveOperations {
2 RULE: LowCohesiveOperations { INTER MultiOperation LowCohesivePT };
4 RULE: LowCohesivePT { ARIO LOW };
5 };

H2: Accuracy
The detection algorithms have an average precision of more than
75% and a recall of 100%, i.e., more than three-quarters of
detected antipatterns are true positive and we do not miss any
existing antipatterns
Web Services 88.69% 100%
Average Precision Average Recall
SCA 90.84% 97.5%
REST 89.42% 94%
Average 89.65% 97.17%

H3: Extendibility
Our DSL and SOFA framework are extensible for adding new
metrics and new SOA antipatterns
Web Services 10 0 10
Antipatterns Patterns New Metrics
SCA 13 0 17
REST 8 5 -
Total 31 5 27

H4: Performance
The computation time required for the detection of antipatterns
using the generated algorithms is reasonably very low, i.e., in the
order of few seconds
Web Services 147.55s
Average Detection Time
SCA 0.238s
REST 21.43s
Average 51.41s

Impact of Antipatterns
The Wilcoxon Rank Sum Test
42

Conclusion

Current and Future Plan
• Antipatterns in service-oriented business processes, i.e., BPEL
• Semantic analysis of REST APIs based on dictionaries
(WordNet and Stanford Core NLP)
• A comprehensive tool support for the detection
• Further validation of the approach with more Web services and
RESTful APIs

Specification and Detection of SOA Antipatterns

Recommended

Recommended

More Related Content

Similar to Specification and Detection of SOA Antipatterns

Similar to Specification and Detection of SOA Antipatterns (20)

More from Francis Palma

More from Francis Palma (12)

Recently uploaded

Recently uploaded (20)

Specification and Detection of SOA Antipatterns