Create Contract-based design section (in progress).

Change-Id: Idb83a64039249399bf8df6d9348a393da3c57563
diff --git a/features.html b/features.html
index 7c155be..f584ffe 100644
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@@ -3,19 +3,20 @@
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-				<li>
-					<input name="tabs" id="tab1" checked="" type="radio">
+				<li><input name="tabs" id="tab1" checked="" type="radio">
 					<label for="tab1">Features</label>
 					<div id="tab-content1" class="tab-content">
 						<p>
 						<h3>CHESS Profile</h3>
-					<p>
-					The CHESS UML profile: 
-					<ul class="listInTabs">
-						<li>restricts the set of MARTE, SysML and UML entities that can be created in the CHESS model, </li>
-						<li>provides the set of stereotypes required to enable the user to work with the CHESS 
-						component model, </li>
-						<li>provides some MARTE stereotypes extensions to allow the specification of 
-						computation-independent real-time properties, </li>
-						<li>defines a new set of stereotypes for the support of dependability modeling and contract-based design.</li>
-					</ul>
-				</p>
-				<p>
-				<h3>CHESS Editor</h3> 
-				<p>
-					The CHESS editor extends the Papyrus UML editor and is activated when a CHESS model is created 
-					or opened (see <a href="#figure1">Figure 1</a>).
-				</p>
-				<p>
-					A CHESS model is a UML model with the CHESS profile applied to it; creating a CHESS model and 
-					applying the CHESS profile can be done using a dedicated wizard.
-				</p>
-				<p>
-					The CHESS editor allows working with the Papyrus UML by using the CHESS design views. 
-					Each design view applies specific constraints on the UML diagrams and entities that can be 
-					created, viewed or edited in that view.
-				</p>
-				<p>
-					The CHESS editor allows switching between views. It also keeps the status of the current view 
-					and during the modeling activity prevents the modeler from violating the constraints defined for 
-					the current diagram-view pair.
-				</p>
-				<p>
-					The native Papyrus palettes have been customized in order to show only the entities that are 
-					allowed to be created in the current diagram view.
-				</p>
-				<p>
-				<h4>CHESS Views</h4>
-				<p>
-					The views defined in CHESS are the requirement, system, component, deployment and analysis views.
-				</p>
-				<p>
-					The requirement view is used to model requirements by using the standard requirement diagram 
-					from SysML.
-				</p>
-				<p>
-				</p>
-				<p>
-					The system view is used to model system entities by using SysML; it is an ongoing development 
-					that has been recently introduced in CHESS in order to support the system to software 
-					co-engineering phase.
-				</p>
-				<p>
-					The component view is used to model CHESS software components (also called the PIM model): 
-					is actually composed by two sub-views, the functional and the extra-functional ones, according 
-					to the CHESS separation of concerns principle.
-				</p>
-				<p>
-					The functional view allows the functional specification of the CHESS components (see <a href="#figure1">Figure 1</a> 
-					and <a href="#figure2">Figure 2</a>).
-				</p>
-				<p>
-								
-				<a id="figure1"><img style="background: #fff; box-shadow: 0px 0px 6px #111;" alt="CHESS Component View Types" src="images/compFunViewTypes.png" width="85%"/></a>								
-				<div class="caption">Figure 1: Component View - Functional View - Component Types</div>
-				</p>
-				<p>
-				<a id="figure2"><img style="background: #fff; box-shadow: 0px 0px 6px #111;" alt="CHESS Component View Instances" src="images/compFunViewInstances.png" width="85%"/></a>
-				<div class="caption">Figure 2: Component View - Functional View - Component Instances</div>
-				</p>
-				<p>
-					The extra functional view (see <a href="#figure3">Figure 3</a>) allows the specification of real time properties 
-					like periodic and sporadic activation patterns, worst-case execution time and deadline. 
-					Regarding dependability it supports the specification of error models (i.e. fault-error-failure 
-					chains) for software and offers the possibility for the user to specify probabilistic values 
-					related to fault occurrence and failure propagation between components.
-				</p>
-				<p>
-				<a id="figure3"><img style="background: #fff; box-shadow: 0px 0px 6px #111;" alt="CHESS Component View Extra Functional View" src="images/compExtraFunViewInstances.jpg" width="85%"/></a>
-				<div class="caption">Figure 3: Component View - Extra Functional View - Component Instances</div>
-				</p>
-				<p>
-					The deployment view (<a href="#figure4">Figure 4</a>) is used to describe the hardware platform where the software runs 
-					(i.e. CPUs, buses) and software to hardware components allocation. Dependability properties can be 
-					provided for the hardware as for the software components. Moreover failures propagation from hardware to 
-					software can be specified.
-				</p>
-				<p>
-				<a id="figure4"><img style="background: #fff; box-shadow: 0px 0px 6px #111;" alt="CHESS Deployment View" src="images/deplView.jpg" width="85%"/></a>
-				<div class="caption">Figure 4: Deployment View - HW Component instance and SW allocation</div>
-				</p>
-				<p>
-					The analysis view (<a href="#figure5">Figure 5</a>) is used to provide information needed to run the specific analysis; 
-					in particular it is currently useful to set the information about the dependability measure of interest 
-					(i.e. reliability or availability) that needs to be evaluated.
-				</p>
-				<p>
-				<a id="figure5"><img style="background: #fff; box-shadow: 0px 0px 6px #111;" alt="CHESS Analysis View" src="images/analView.jpg" width="85%"/></a>
-				<div class="caption">Figure 5: Analysis View</div>
-				</p>
-				<p>
-				<h3>Model validator</h3>
-				<p>
-					For reasons of practicality, not all the constraints posed by the CHESS methodology on the model 
-					formalisms and contents can be enforced on the fly during user modeling; some of them must be 
-					checked in a batch mode. To this end the CHESS editor extends the standard UML model validator 
-					which ad-hoc checks that the user model conforms with the constraints imposed by the CHESS 
-					methodology, for example the well-formedness of entities, attributes, relations.
-				</p>
-				<p>
-				<a id="figure6"><img style="background: #fff; box-shadow: 0px 0px 6px #111;" alt="Invoking CHESS model validator" src="images/callModelValidator.png" width="85%"/></a>
-				<div class="caption">Figure 6: Invoking CHESS model validator</div>
-				</p>
-				<p>
-				<h3>Model transformations</h3> 
-				<p>
-					CHESS supports model-based analysis of the systems for schedulability, dependability, as 
-					well as code generation from model. Both features are implemented through model transformations 
-					which are invoked through the CHESS editor menu.
-				<p>
-					Dependability analysis currently supported are:
-					<ul class="listInTabs">
-						<li>failure propagation analysis,</li>
-						<li>state-based quantitative analysis.</li>
-					</ul>
-				</p>
-					Integration with OCRA external tool for formal verification of contract refinement is implemented.
-				</p>
-				<h4>Schedulability Analysis and Ada 2005 Code Generation</h4>
-				<p>
-					Schedulability analysis allows the calculation of the worst case response time for each declared 
-					periodic or sporadic activity. The analysis results are back propagated to the proper PIM 
-					components, also a summary report is provided to the user (see <a href="#figure7">Figure 7</a>). The intent of the
-					back-propagation feature is that the user need not be concerned with the specifics of the 
-					analysis tool and need not learn its input and output formats: back-propagation decorates 
-					the user model with the relevant information that results from the analysis in full transparency 
-					from the analysis engine and its actual operation.
-				</p>
-				<p>
-				<a id="figure7"><img style="background: #fff; box-shadow: 0px 0px 6px #111;" alt="CHESS Schedulability Analysis Report" src="images/schedAnalReport.png" width="85%"/></a>
-				<div class="caption">Figure 7: Schedulability Analysis Report</div>
-				</p>
-				<p>
-					The real-time properties of interest like period, offset and minimal inter-arrival time are 
-					specified in the model through a dedicated declarative language defined in the CHESS profile. 
-					The aforementioned properties are then automatically applied to the model implementation through 
-					model transformation in accord with the computational model chosen by the user. At the present 
-					time, CHESS supports the Ravenscar Computational Model [1] which meets the requirements of a 
-					large spectrum of real-time application domains. The generated implementation (called the PSM, 
-					for platform-specific model) is then given in input to the schedulability analysis and it also 
-					used during the code generation phase:
-				</p>
-				<p>
-					The preservation of other real-time properties related to the execution time like WCET and 
-					deadline is also enforced in the generated code through dedicated checks by using specific 
-					API of the target run-time environment (this feature is an on-going development).
-				</p>
-				<p>
-					This approach guarantees the preservation of the real-time properties statically assumed in the 
-					PIM and PSM models, and verified by the analysis down to the code.
-				</p>
-				<p>
-					The schedulability analysis is performed by using an adaptation of the third-party MAST tool 
-					developed and distributed by the University of Cantabria [2].
-				</p>
-				<p>
-					Regarding the transformation chain (<a href="#figure8">Figure 8</a>), first the CHESS PIM is transformed into the 
-					PSM model by using QVT-o. Then the PSM is transformed into the MAST input by using Acceleo and 
-					Java. Regarding the back propagation, Java is used first to load the MAST results into the PSM, 
-					then QVT-o traces are used to propagate the results back to the PIM model.
-				</p>
-				<p>
-				<a id="figure8"><img style="background: #fff; box-shadow: 0px 0px 6px #111;" alt="CHESS Transformation chain" src="images/transChain.png" width="85%"/></a>
-				<div class="caption">Figure 8: Transformation chain</div>
-				</p>
-				<p>
-				[1]A. Burns, B. Dobbing, T. Vardanega. Guide to the Use of the Ada Ravenscar Profile in High Integrity Systems. Technical Report YCS-2003-348. University of York (UK), 2003. Available at <a href="http://www.sigada.org/ada_letters/jun2004/ravenscar_article.pdf"> http://www.sigada.org/ada_letters/jun2004/ravenscar_article.pdf.</a>  </br>
-				
-				
-				[2]Universidad de Cantabria. Mast: Modeling and Analysis Suite for Real-Time Applications. <a href="http://mast.unican.es/"> http://mast.unican.es/</a> 
-				
-				</p>							
-				</li>
-				
-				
-				
-				
+						<p>The CHESS UML profile:
+						<ul class="listInTabs">
+							<li>restricts the set of MARTE, SysML and UML entities that
+								can be created in the CHESS model,</li>
+							<li>provides the set of stereotypes required to enable the
+								user to work with the CHESS component model,</li>
+							<li>provides some MARTE stereotypes extensions to allow the
+								specification of computation-independent real-time properties,</li>
+							<li>defines a new set of stereotypes for the support of
+								dependability modeling and contract-based design.</li>
+						</ul>
+						</p>
+						<p>
+						<h3>CHESS Editor</h3>
+						<p>
+							The CHESS editor extends the Papyrus UML editor and is activated
+							when a CHESS model is created or opened (see <a href="#figure1">Figure
+								1</a>).
+						</p>
+						<p>A CHESS model is a UML model with the CHESS profile applied
+							to it; creating a CHESS model and applying the CHESS profile can
+							be done using a dedicated wizard.</p>
+						<p>The CHESS editor allows working with the Papyrus UML by
+							using the CHESS design views. Each design view applies specific
+							constraints on the UML diagrams and entities that can be created,
+							viewed or edited in that view.</p>
+						<p>The CHESS editor allows switching between views. It also
+							keeps the status of the current view and during the modeling
+							activity prevents the modeler from violating the constraints
+							defined for the current diagram-view pair.</p>
+						<p>The native Papyrus palettes have been customized in order
+							to show only the entities that are allowed to be created in the
+							current diagram view.</p>
+						<p>
+						<h4>CHESS Views</h4>
+						<p>The views defined in CHESS are the requirement, system,
+							component, deployment and analysis views.</p>
+						<p>The requirement view is used to model requirements by using
+							the standard requirement diagram from SysML.</p>
+						<p></p>
+						<p>The system view is used to model system entities by using
+							SysML; it is an ongoing development that has been recently
+							introduced in CHESS in order to support the system to software
+							co-engineering phase.</p>
+						<p>The component view is used to model CHESS software
+							components (also called the PIM model): is actually composed by
+							two sub-views, the functional and the extra-functional ones,
+							according to the CHESS separation of concerns principle.</p>
+						<p>
+							The functional view allows the functional specification of the
+							CHESS components (see <a href="#figure1">Figure 1</a> and <a
+								href="#figure2">Figure 2</a>).
+						</p>
+						<p>
+
+							<a id="figure1"><img
+								style="background: #fff; box-shadow: 0px 0px 6px #111;"
+								alt="CHESS Component View Types"
+								src="images/compFunViewTypes.png" width="85%" /></a>
+						<div class="caption">Figure 1: Component View - Functional
+							View - Component Types</div>
+						</p>
+						<p>
+							<a id="figure2"><img
+								style="background: #fff; box-shadow: 0px 0px 6px #111;"
+								alt="CHESS Component View Instances"
+								src="images/compFunViewInstances.png" width="85%" /></a>
+						<div class="caption">Figure 2: Component View - Functional
+							View - Component Instances</div>
+						</p>
+						<p>
+							The extra functional view (see <a href="#figure3">Figure 3</a>)
+							allows the specification of real time properties like periodic
+							and sporadic activation patterns, worst-case execution time and
+							deadline. Regarding dependability it supports the specification
+							of error models (i.e. fault-error-failure chains) for software
+							and offers the possibility for the user to specify probabilistic
+							values related to fault occurrence and failure propagation
+							between components.
+						</p>
+						<p>
+							<a id="figure3"><img
+								style="background: #fff; box-shadow: 0px 0px 6px #111;"
+								alt="CHESS Component View Extra Functional View"
+								src="images/compExtraFunViewInstances.jpg" width="85%" /></a>
+						<div class="caption">Figure 3: Component View - Extra
+							Functional View - Component Instances</div>
+						</p>
+						<p>
+							The deployment view (<a href="#figure4">Figure 4</a>) is used to
+							describe the hardware platform where the software runs (i.e.
+							CPUs, buses) and software to hardware components allocation.
+							Dependability properties can be provided for the hardware as for
+							the software components. Moreover failures propagation from
+							hardware to software can be specified.
+						</p>
+						<p>
+							<a id="figure4"><img
+								style="background: #fff; box-shadow: 0px 0px 6px #111;"
+								alt="CHESS Deployment View" src="images/deplView.jpg"
+								width="85%" /></a>
+						<div class="caption">Figure 4: Deployment View - HW
+							Component instance and SW allocation</div>
+						</p>
+						<p>
+							The analysis view (<a href="#figure5">Figure 5</a>) is used to
+							provide information needed to run the specific analysis; in
+							particular it is currently useful to set the information about
+							the dependability measure of interest (i.e. reliability or
+							availability) that needs to be evaluated.
+						</p>
+						<p>
+							<a id="figure5"><img
+								style="background: #fff; box-shadow: 0px 0px 6px #111;"
+								alt="CHESS Analysis View" src="images/analView.jpg" width="85%" /></a>
+						<div class="caption">Figure 5: Analysis View</div>
+						</p>
+						<p>
+						<h3>Model validator</h3>
+						<p>For reasons of practicality, not all the constraints posed
+							by the CHESS methodology on the model formalisms and contents can
+							be enforced on the fly during user modeling; some of them must be
+							checked in a batch mode. To this end the CHESS editor extends the
+							standard UML model validator which ad-hoc checks that the user
+							model conforms with the constraints imposed by the CHESS
+							methodology, for example the well-formedness of entities,
+							attributes, relations.</p>
+						<p>
+							<a id="figure6"><img
+								style="background: #fff; box-shadow: 0px 0px 6px #111;"
+								alt="Invoking CHESS model validator"
+								src="images/callModelValidator.png" width="85%" /></a>
+						<div class="caption">Figure 6: Invoking CHESS model
+							validator</div>
+						</p>
+						<p>
+						<h3>Model transformations</h3>
+						<p>CHESS supports model-based analysis of the systems for
+							schedulability, dependability, as well as code generation from
+							model. Both features are implemented through model
+							transformations which are invoked through the CHESS editor menu.
+
+
+						
+						<p>Dependability analysis currently supported are:
+						<ul class="listInTabs">
+							<li>failure propagation analysis,</li>
+							<li>state-based quantitative analysis.</li>
+						</ul>
+						</p>
+						Integration with OCRA external tool for formal verification of
+						contract refinement is implemented.
+						</p>
+						<h4>Schedulability Analysis and Ada 2005 Code Generation</h4>
+						<p>
+							Schedulability analysis allows the calculation of the worst case
+							response time for each declared periodic or sporadic activity.
+							The analysis results are back propagated to the proper PIM
+							components, also a summary report is provided to the user (see <a
+								href="#figure7">Figure 7</a>). The intent of the
+							back-propagation feature is that the user need not be concerned
+							with the specifics of the analysis tool and need not learn its
+							input and output formats: back-propagation decorates the user
+							model with the relevant information that results from the
+							analysis in full transparency from the analysis engine and its
+							actual operation.
+						</p>
+						<p>
+							<a id="figure7"><img
+								style="background: #fff; box-shadow: 0px 0px 6px #111;"
+								alt="CHESS Schedulability Analysis Report"
+								src="images/schedAnalReport.png" width="85%" /></a>
+						<div class="caption">Figure 7: Schedulability Analysis
+							Report</div>
+						</p>
+						<p>The real-time properties of interest like period, offset
+							and minimal inter-arrival time are specified in the model through
+							a dedicated declarative language defined in the CHESS profile.
+							The aforementioned properties are then automatically applied to
+							the model implementation through model transformation in accord
+							with the computational model chosen by the user. At the present
+							time, CHESS supports the Ravenscar Computational Model [1] which
+							meets the requirements of a large spectrum of real-time
+							application domains. The generated implementation (called the
+							PSM, for platform-specific model) is then given in input to the
+							schedulability analysis and it also used during the code
+							generation phase:</p>
+						<p>The preservation of other real-time properties related to
+							the execution time like WCET and deadline is also enforced in the
+							generated code through dedicated checks by using specific API of
+							the target run-time environment (this feature is an on-going
+							development).</p>
+						<p>This approach guarantees the preservation of the real-time
+							properties statically assumed in the PIM and PSM models, and
+							verified by the analysis down to the code.</p>
+						<p>The schedulability analysis is performed by using an
+							adaptation of the third-party MAST tool developed and distributed
+							by the University of Cantabria [2].</p>
+						<p>
+							Regarding the transformation chain (<a href="#figure8">Figure
+								8</a>), first the CHESS PIM is transformed into the PSM model by
+							using QVT-o. Then the PSM is transformed into the MAST input by
+							using Acceleo and Java. Regarding the back propagation, Java is
+							used first to load the MAST results into the PSM, then QVT-o
+							traces are used to propagate the results back to the PIM model.
+						</p>
+						<p>
+							<a id="figure8"><img
+								style="background: #fff; box-shadow: 0px 0px 6px #111;"
+								alt="CHESS Transformation chain" src="images/transChain.png"
+								width="85%" /></a>
+						<div class="caption">Figure 8: Transformation chain</div>
+						</p>
+						<p>
+							[1]A. Burns, B. Dobbing, T. Vardanega. Guide to the Use of the
+							Ada Ravenscar Profile in High Integrity Systems. Technical Report
+							YCS-2003-348. University of York (UK), 2003. Available at <a
+								href="http://www.sigada.org/ada_letters/jun2004/ravenscar_article.pdf">
+								http://www.sigada.org/ada_letters/jun2004/ravenscar_article.pdf.</a>
+							</br> [2]Universidad de Cantabria. Mast: Modeling and Analysis Suite
+							for Real-Time Applications. <a href="http://mast.unican.es/">
+								http://mast.unican.es/</a>
+
+						</p></li>
+
+				<li><input name="tabs" id="tab2" type="radio"> <label
+					for="tab2">Contract-based design</label>
+					<div id="tab-content2" class="tab-content">
+						<p>The contract-based design enriches the system architecture
+							model with expressions asserting the expected properties of the
+							system, its components and environment. In order to allow
+							compositional reasoning, the property of a component are
+							restricted to its interface considering the component as a black
+							box (without constraining the internal variables of the
+							component) and are structured into contracts, pairs of properties
+							representing an assumption and a guarantee of the component: an
+							assumption is an assertion on the behaviour of the component
+							environment, while a guarantee is an assertion on the behaviour
+							of the component provided that the entire set of assumptions
+							holds.</p>
+						<p>CHESS supports the specification of contracts with the help
+							of an automated completion feature that suggests the possible
+							continuations of a partial specification.<p>
+							<a id="figure1"><img
+								style="background: #fff; box-shadow: 0px 0px 6px #111;"
+								alt="Property Editor with “completion assistance”"
+								src="images/contract-editor.png" width="85%" /></a>
+						
+						<div class="caption">Property Editor with “completion
+							assistance”</div>
+						</p>
+						<p>If assumptions and guarantees are formal properties, which
+							means they are specified in a formal language such as some
+							specific kind of temporal logic, the architectural decomposition
+							can be verified by checking that the contract refinement is
+							correct: this consists of checking that, for all composite
+							components, the contract of the composite component is ensured by
+							the contracts of the subcomponents –considering their
+							interconnection as described by the architecture -and that the
+							assumption of each subcomponent is ensured by the contracts of
+							the other sibling subcomponents and the assumption of the
+							composite component.</p>
+						<p>
+							<a id="figure2"><img
+								style="background: #fff; box-shadow: 0px 0px 6px #111;"
+								alt="An example of the result of the check
+							contract refinement shown in the Trace View."
+								src="images/contract-refinement.png" width="85%" /></a>
+						
+						<div class="caption">An example of the result of the check
+							contract refinement shown in the Trace View. In this case, it is
+							possible to see that one refinement is failed, and the counter
+							example.</div>
+						</p>
+					</div></li>
+
+
 				<!--li>
 					<input name="tabs" id="tab2" type="radio">
 					<label for="tab2">Example</label>
@@ -255,20 +347,23 @@
 						</p>
 					</div>
 				</li-->
-					
+
 			</ul>
-		</article>		         
-    </div>
-	
+		</article>
+	</div>
+
 	<div class="clear"></div>
-	
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+
+	<footer id="footer-features">
 		<div class="footer-content width">
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@@ -292,12 +387,13 @@
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-				<li><h4>Other</h4></li>				
+				<li><h4>Other</h4></li>
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@@ -320,7 +416,7 @@
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