Module 1

Software ArchitectureSoftware Architecture, Software Design Levels, The status ofSoftware Engineering and Architecture. Architecture StylesUse of Patterns and Styles inSoftware Design, Common Architectural Styles -Pipes and Filters, Data Abstraction and ObjectOrientation, Event Based Implicit Invocation, Layered Systems, Repositories, Interpreters,Process Control ParadigmsCase Studies to Illustrate the use of Architectural Principles.

SOFTWARE ARCHITECTURE

Software architecture [is a level of design that] involves the description of elements from whichsystems are built, interactions among those elements, patterns that guide their composition, andconstraints on these patterns.

The software architecture of a program or computing system is the structure or structures of thesystem, which comprise software components, the externally visible properties of thosecomponents, and the relationships between them. Externally visible properties refers to those assumptions other components can make of acomponent such as Provided services, Performance characteristics, Fault handling, Sharedresource usage etc.

Software architecture also refers to documentation of a system's software architecture.Documenting software architecture facilitates communication between stakeholders, documentsearly decisions about high- level design, and allows reuse of design components and patternsbetween projects.

A software systems blueprint Its components Their interactions Their interconnections

The architecture is the core of the design, so all software engineers need tounderstand it.

The architecture will often constrain the overall efficiency, reusability andmaintainability of the system.

The architecture of a software system defines that system in terms of computational componentsand interactions among those components.

Key Architectural Concepts

Three canonical building blocks components connectors Configurations

A sub-system is a system in its own right whose operation is independent of the services providedby other sub-systems.

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A module is a system component that provides services to other components but would notnormally be considered as a separate system.

A component is a unit of computation or a data store. Components are loci of computation andstate.Examples: clients, servers, databases, filters, layers, ADTs

A component may be simple or composite composite components describe a (sub)system an architecture consisting of composite components describes a system of systems

A connector is an architectural element that models interactions among components and rulesthat govern those interactions. There can be simple and complex interactions.

Simple interactions procedure calls shared variable access

Complex and semantically rich interactions client-server protocols database access protocols piped data streams

An architectural configuration or topology is a connected graph of components and connectorsthat describes architectural structure.

Why Is Software Architecture Important?

1. Communication among stakeholders.

Software architecture represents a common abstraction of a system that most of thesystem's stakeholders can use as a basis for mutual understanding, negotiation andcommunication. Customers, managers, designers, programmers etc are the stakeholders.

2. Early design decisions.

Software architecture manifests the earliest design decisions about a system and theseearly bindings helps in systems remaining development, its deployment and its maintenance life.It is also the earliest point at which design decisions governing the system to be built can beanalyzed. The early decisions are the most difficult to get correct and hardest to change later inthe development process, and they have far reaching effects.

a) The architecture defines constraints on implementationb) The architecture dictates organizational structurec) The architecture guides in evolutionary prototyping

3. Transferable abstraction of a system to similar systems (reuse):

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Software architecture constitutes a model of how a system is structured and how itselements work together. It can be applied to other systems exhibiting similar quality attribute andfunctional requirements and can promote large-scale re-use. While code re-use is beneficial, re-use at architectural level provides tremendous leverage for systems with similar requirements.

Hardware design levels1. Processor-Memory-Switch level (PMS level)

Level at which an architect views the system. It is simply a description of the system components and their interconnections. The components are specified in the form of a block diagram. Components are processors/P, memories/M, switches/S, controls/K, transducers/T, data

operators/D and links/L.

2. Programming Level Structures: Programs, Subprograms Components: State(memory cells), instructions, operators, controls, interpreter.

3. Logic design level The behaviour is less visible, while the hardware structure predominates.

i) Register Transfer Level Circuits: Arithmetic unit Components: Registers, multiplexers, decoders, buses,

buffers, Controls, Data operators ii) Switching circuits sublevel: a) Combinatorial

Circuits: Encoders, decoders, transfer arrays, data ops,selectors, distributors, iterative networks.

Components: AND, OR, NOT, NAND, NOR b) Sequential

Circuits: Counters, controls, sequential, transducer,function generator, register arrays

Components: Flipflops, reset-set/RS, JK, delay/D, toggle/T,latch, delay, one shot.

4. State system level Components: States, inputs, outputs.

5. Circuit level Circuits: Amplifiers, delays, multivibrators, clocks, gates, differentiator Active components: Relays, vaccum tubes, transistors Passive components: Resistor/R, capacitor/C, Inducter/L, diode, delay lines.

Software Design Levels1. Architecture

Design issues involve overall association of system capability with components components: programs, modules or systems Protocols connect the components Operators and system patterns guide the compositions

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2. Code Design issues involve algorithm and data structures Components: programming language primitives(numbers, characters, pointers,

threads of control) Composition mechanism: records, arrays, procedures

3. Executable Design issues involve memory maps, data layouts, call stacks and register

allocations Components are bit patterns supported by hardware Operations and compositions are described in machine code

Architectural Styles:

An architectural style defines a family of systems in terms of a pattern of structuralorganization. This provides a vocabulary of components and connector types, and a set ofconstraints on how they can be combined. A semantic model may also exist which specify howto determine a system's overall properties from the properties of its parts.

Different architectural styles

1) Pipes and Filters :

In a pipe and filter style each component has a set of inputs and a set of outputs. Acomponent reads streams of data on its inputs and produces streams of data on its outputs,delivering a complete instance of the result in a standard order.

This is usually accomplished by applying a local transformation to the input streams andcomputing incrementally so output begins before input is consumed. Hence componentsare termed filters.

The connectors of this style serve as conduits for the streams, transmitting outputs of onefilter to inputs of another. Hence the connectors are termed pipes.

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Conditions (invariants) of this style are:

Filters must be independent entities: in particular, they should not share state with other filters.Filters do not know the identity of their upstream and downstream filters. Their specifications

might restrict what appears on the input pipes or make guarantees about what appears on theoutput pipes, but they may not identify the components at the ends of those pipes.The correctness of the output of a pipe and filter network should not depend on the order in

which the filters perform their incremental processing.

Common specializations of this style include pipelines, which restrict the topologies to linear sequences of filters; bounded pipes, which restrict the amount of data that can reside on a pipe; and typed pipes, which require that the data passed between two filters have a well-defined

type.

Batch sequential system A degenerate case of a pipeline architecture occurs when each filter processes all of its input dataas a single entity. In this case the architecture becomes a batch sequential system. In thesesystems pipes no longer serve the function of providing a stream of data.

Examples of pipe and filter architectures are

1) programs written in the Unix shell. Unix supports this style by providing a notation forconnecting components (represented as Unix processes) and by providing run timemechanisms for implementing pipes.

2) Traditionally compilers have been viewed as a pipeline systems (though the phases areoften not incremental). Stages in the pipeline include lexical analysis parsing, semanticanalysis and code generation etc

3) Signal processing domains 4) Parallel processing 5) Distributed systems. 6) JEE Servlet Filter, eg for typed pipes

Strengths:-Reuse: any two filters can be connected if they agree on data format -Ease of maintenance and enhancement: filters can be added or replaced -Permit certain kinds of specialized analysis: deadlock analysis, throughput analysis-Potential for parallelism: filters implemented as separate tasks, and can be executed inparallel with other filters-Allow the designer to understand the overall ip/op behavior of a system as a simplecomposition of the behavior of the individual filters.

Weaknesses:

Can be difficult to design incremental filters:

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When incremental display updates are required.They may be hampered by havingto maintain correspondences between two separate but related streams.

Not appropriate for interactive applications Scheme is highly dependent on order of filters Sharing global data expensive or limiting Error handling difficult: what if an intermediate filter crashes? Each filter has to parse and unparse data

2) Data Abstraction and Object-Oriented Organization :

In this approach, data representation and their associated primitive operations are encapsulated inthe abstract data type (ADT) or object.

The components of this style are- objects/ADTs

objects interact through function and procedure invocations. Objects are also called managersbecause it is responsible for preserving the integrity of its representation.

Two important aspects of this style are: Object is responsible for preserving the integrity of its representation. Representation is hidden from other objects.

Advantages

It is possible to change the implementation without affecting the clients because an objecthides its representation from clients.

The bundling of a set of accessing routines with the data they manipulate allows designers todecompose problems into collections of interacting agents.

Disadvantages

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To call a procedure, it must know the identity of the other object. o This is in contrast, for example, to pipe and filter systems, where filters do need

not know what other filters are in the system in order to interact with them.

Whenever the identity of object changes it is necessary to modify all other objects thatexplicitly invoke it.

Further there can be side effect problems: if A uses object B and C also uses B, then C'seffects on B look like unexpected side effects to A, and vice versa.

3) Event-based, Implicit Invocation :

Instead of invoking the procedure directly a component can announce one or moreevents.

Other components in the system can register an interest in an event by associating aprocedure to it.

When the event is announced, the system itself invokes all of the procedure that havebeen registered for the event. Thus an event announcement implicitly causes theinvocation of procedures in other modules.

The components in an implicit invocation style are modules whose interface providesboth a collection of procedures and a set of events.

For example, in the Field system, tools such as editors and variable monitors register for adebuggers breakpoint events. When a debugger stops at a breakpoint, it announces an event thatallows the system to automatically invoke methods in those registered tools. These methodsmight scroll an editor to the appropriate source line or redisplay the value of monitored variables.In this scheme, the debugger simply announces an event, but does not know what other tools (ifany) are concerned with that event, or what they will do when that event is announced.

Invariants:

event generators do not know about which components will be affected by those events,functional impact on different components components cannot make assumptions about order of processing, what processing will occur

as a result of their events.

Advantages:

It provides strong support for reuse

o Any component can be introduced into the system simply by registering it for theevents of that system.

Implicit invocation eases system evolution.

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o Components may be replaced by other components without affecting theinterfaces of other components.

Disadvantages:

Components relinquish control over the computation performed by the system. o When a component announces an event, it has no idea what other components

will respond to it. Worse, even if it does know what other components areinterested in the events it announces, it cannot rely on the order in which they areinvoked. It cannot know when they are finished.

Concerns exchange of data.o Sometimes data can be passed with the event. But in other situations event

systems must rely on a shared repository for interaction. In these cases globalperformance and resource management can become a serious issue.

reasoning about correctness can be problematic, since the meaning of a procedure thatannounces events will depend on the context of bindings in which it is invoked.

4) Layered Systems :

A layered system is organized hierarchically, each layer providing service to the layer above itand serving as a client to the layer below. In some layered systems inner layers are hidden from all except the adjacent outer layer, exceptfor certain functions carefully selected for export. Thus in these systems the componentsimplement a virtual machine at some layer in the hierarchy. The connectors are defined by the protocols that determine how the layers will interact.

Examples:

Layered communication protocol Operating systems Database systems

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Advantages:

o They support designs based on increasing levels abstraction. This allows implementers to partition acomplex problem into a sequence of incremental steps.

o They support enhancement : changes to the function of one layer affect at most two otherlayers.

o They support reuse. Different implementations of the same layer can be used interchangeably,provided they support the same interfaces to their adjacent layers.

Disadvantages:

Not easily all systems can be structures in a layered fashion. And even if a system can logically bestructured as layers, considerations of performance may require closer coupling betweenlogically high-level functions and their lower-level implementations.

It can be quite difficult to find the right levels of abstraction. Difficulty to mapping existingprotocols into the ISO framework as many of those protocols bridge several layers.

difficult to define system independent layers (as with filters)since a layer must support thespecific protocols at its upper and lower boundaries.

5) Repositories :

In a repository style there are two quite distinct kinds of components: a central data structure represents the current state, and a collection of independent components operate on the central data store.

Interactions between the repository and its external components can vary significantly betweensystems.

The choice of control discipline leads to two major subcategories. 1) If the types of transactions in an input stream of transactions trigger selection of

processes to execute, the repository can be a traditional database. 2) If the current state of the central data structure is the main trigger of selecting processes

to execute, the repository can be a blackboard.

The blackboard model is usually presented with three major parts:

The knowledge sources: separate, independent parcels of application dependent knowledge.Interaction among knowledge sources takes place solely through the blackboard.

The blackboard data structure: problem-solving state data, organized into an application-dependent hierarchy. Knowledge sources make changes to the blackboard that lead incrementallyto a solution to the problem.

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Control: driven entirely by state of blackboard. Knowledge sources respond opportunisticallywhen changes in the blackboard make them applicable.

Invocation of a knowledge source is triggered by the state of the blackboard. The actual locus ofcontrol, and hence its implementation, can be in the knowledge sources, the blackboard, aseparate module, or some combination of these.

Blackboard systems have traditionally been used for applications requiring complexinterpretations of signal processing, such as speech and pattern recognition.Egs:

Batch sequential systems with global databases are a special case. Programmingenvironments are often organized as a collection of tools together with a sharedrepository of programs and program fragments.

Compiler architecture can be viewed as a shared architecture

Advantages

Each subsystem does not have to take care of how data are produced/consumed by othersubsystem.

Efficient way to share large amounts of data Allows a centralized management for system backup, security and concurrency control

Disadvantages

All subsystems have to agree on a data model Data evolution is expensive

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6) Interpreters :

In an interpreter organization a virtual machine is produced in software.

An interpreter includes the pseudo-program being interpreted and the interpretation engine itself.The pseudo-program includes the program itself and the interpreters analog of its execution state(activation record).

The interpretation engine includes both the definition of the interpreter and the current state ofits execution.

Ie it has four components: an interpretation engine to do the work, a memory that contains the pseudo- code to be interpreted, a representation of the control state of the interpretation engine, and a representation of the current state of the program being simulated.

Interpreters are commonly used to build virtual machines that close the gap between thecomputing engine expected by the semantics of the program and the computing engine availablein hardware .

Ex: JVM or virtual Pascal machine

Advantages:

Executing program via interpreters adds flexibility through the ability to interrupt and query theprogram PortabilitySimulation of non implemented hardware

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Disadvantages:

Performance cost because of additional computational involvedExtra level of indirection slows down execution.

7) PROCESS CONTROL PARADIGMS

Process variables: properties of the process that can be measured.

Controlled variable: process variable whose value of the system is intended to control.

Manipulated variable: process variable whose value can be changed by the controller inorder to regulatethe process.

Input variable process variable that measures an input to the process

Set point the desired value for a controlled variable

Open-loop system system in which information about process variables is not used to adjust the system

Closed-loop system system in which information about process variables is used to manipulate a processvariable to compensate for variations in process variables and operating conditions

Feedback control system the controlled variable is measured and the result is used to manipulate one ormore of the process variables

Feed forward control system some of the process variables are measured, and anticipated disturbancesare compensated without waiting for changes in the controlled variable to be visible.

Figure 2.8 Eg for open-loop temperature control

In this case air is passed and the resultant output(hot air) is not used to adjust the temperature. Soit is open loop.

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Figure 2.9 closed-loop temperature control Feedback control:

A home thermostat is a common example; the air temperature at the thermostat is measured, andthe furnace is turned on and off as necessary to maintain the desired temperature.

Fig: feedback control

Feedback control adjusts the process according to measurements of controlled variable. Theimportance components of feedback controller are process definition, process variables, a sensorto obtain controlled variable from physical output, set point and control algorithm.

Feedforward control: It anticipates future effects on the controlled variable by measuring otherprocess variables and adjusts the process based on these variables. The important components ofa feedforward controller are essentially the same as for a feedback controller except that thesensor(s) obtain values of input or intermediate variables.

Fig: Feedforward control

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Process control models are

simplified models They do not deal with complexities - properties of sensors, transmission delays & calibrationissues They ignore the response characteristics of the system, such as gain, lag and hysteresis. They dont show how to combine feedforward and feedback They dont show how to manipulate process variables.

A SOFTWARE PARADIGM FOR PROCESS CONTROL

An architectural style for software that controls continuous processes can be based on theprocess-control model, incorporating the essential parts of a process-control loop:

Computational elements: separate the process of interest from the controlled policy Process definition, including mechanisms for manipulating some process variables Control algorithm, for deciding how to manipulate variables

Data element: continuously updated process variables and sensors that collect them Process variables, including designed input, controlled and manipulated variables and

knowledge of which can be sensed Set point, or reference value for controlled variable Sensors to obtain values of process variables pertinent to control

The control loop paradigm: establishes the relation that the control algorithm exercises.

// Case studies refer pdf

1) kwic

2) Mobile Robotics

3) Instrumentation Software

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