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Explore the significance of formal process definition for improving software effectiveness, analyzing CMM, data flow models, and various process formalisms. Learn how to engineer processes as tangible entities for superior quality.
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Perspectives on Process Formalisms forEnhanced Software Effectiveness Leon J. Osterweil (ljo@cs.umass.edu) University of Massachusetts Amherst, MA 01003 URL: laser.cs.umass.edu DOD Software Summit USC -- 7 August 2001
What do we mean by “process” • Activities related to the development, verification, evolution, evaluation, management, etc. of software products • Examples of high level processes: • Develop requirements • Do Object Oriented Design • Formally verify • Examples of low level processes • Archive result of running a test case • Compile a piece of code • Tend to be concurrent (coordination of people, systems) • Usually (regrettably) informal or undefined
Why the interest in process? • Superior quality from superior processes • Build quality in, don’t “test in” quality (manufacturing) • Many observed “process errors” • Real processes are intricate, have intricate interconnections • Machines can help people with process complexities • Process effectiveness from human/machine synergy
Processes • Are intangible and invisible • Although their effects are substantial • How to improve their effectiveness? • Make them tangible, visible • Engineer them as first-class objects • Use computer science formalisms to define processes
The Capability Maturity Model (CMM)is a Test Plan for Software Processes
The Capability Maturity Model (CMM)is a Test Plan for Software Processes It supports a Black Box Testing Approach to Software Process Improvement
The Capability Maturity Model (CMM)is a Test Plan for Software Processes It supports a Black Box Testing Approach to Software Process Improvement We advocate White Box Analysis based on explicit process definition
Approaches to Process Definition • Process Definition may have different goals • Communication • Coordination • Intuitive understanding • Verification • Training • Automation • Deep understanding • Etc. • Different definition formalisms support different of these goals to different degrees • Formalisms vary in rigor, precision (semantic detail), semantic scope, clarity
Data Flow Diagram ofTraditional Waterfall Model Requirements High-LevelDesign Low-LevelDesign Code Test
With More Rework Requirements High-LevelDesign Low-LevelDesign Code Test
The Trouble with Dataflow Diagrams Where does output go? Requirements What to do when reviews fail? What causes this rework? High-LevelDesign What portion of activity should bedone? Low-LevelDesign Code Test How do we break this cycle?
Petri Net Requirements specification process Developers Users Real World JSD Interview RW_Desc Develop Spec Sys_Spec_Diag Develop Implementation Sys_Impl_Diag + Sys_Spec_Diag Design_Spec
Req_Spec Design Process Petri net BOOD Req_Spec Identify_Object Objects States Identify_Operations Objects Operations States Establish_Visibility Objects States Operations Visibility Establish_Interface Interface Create_Implementation Implementation Interface Create_Design_Spec Design_Spec Design_Spec
(a) JSD(Real_World | Design_Spec) => (1)Develop_Spec(Real_World_Desc |System_Spec_Diagram) (2)Develop_Impl(System_Spec_Diagram |System_Impl_Diagram) (3)WhereReal_World_Desc = Interview(Users, Developers,Real_World) (4) Design_Spec = union(System_Spec_Diagram, System_Impl_Diagram) Second_level (b) Develop_Spec(Real_World_Desc |System_Spec_Diagram) => (1)Develop_System_Model(Real_World_Desc |Real_World_Model, Init_System_Spec_Diagram) (2)Develop_System_Func(Real_World_Model, Init_System_Spec_Diagram |System_Spec_Diagram) Third_level (c) Develop_System_Model(Real_World_Desc |Real_World_Model, Init_System_Spec_Diagram) => (1)Model_Reality(Real_World_Desc |Real_World_Model) (2)Model_System(Real_World_Model |Init_System_Spec_Diagram) (d) Develop_System_Func(Real_World_Model, Init_System_Spec_Diagram |System_Spec_Diagram) (1)Define_Func(Real_World_Model, Init_System_Spec_Diagram |System_Function, Function_Process) (2)Define_Timing(Init_System_Spec_Diagram, System_Function |Timing) (3)Where System_Spec_Diagram = is_composed_of(Init_System_Spec_Diagram, System_Function, Function_Process, Timing) Fourth_level (e)Model_Reality(Real_World_Desc | Real_World_Model) => (1)Identify_Entity_Action(Real_World_Desc | Entity_Action_List) (2)Draw_Entity_Structure(Entity_Action_List | Entity_Structure_List) Where Real_World_Model = is(Entity_Structure_List) Real_World_Process = is(Entity_Structure) (f) Model_System(Real_World_Model | Init_System_Spec_Diagram) => (1)Identify_Model_Process(Real_World_Model | M_Proc_Name_List) (2)Connect(Real_World_Model, M_Proc_Name_List | Connection_List) (3)Specify_Model_Process(Connection_List, Real_World_Model, M_Proc_Name_List |Model_Process_List) (4)Where Init_System_Spec_Diagram = is(Model_Process_List) (5)Connection = is(State_Vector) or is(Data_Stream) HFSP design model
Little JIL • Graphical language with execution semantics • Expresses process coordination • Designed to be used interchangeably with other product, resource, scheduling factors • Visual JIL is the graphical interface to Little JIL
Opportunities and Directions • Evolve and Improve Software Processes and Products • Through improving process languages by • Defining key processes • Using them to integrate tools • Automating processes • Analyzing and improving processes • Effecting the definition and automation of superior processes for • Software development • Management • Procurement • To assure superior software products