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EOS-E 10
Evolutionary object oriented software development
and project management
Wolfgang Hesse, University of Marburg
Contents:
1
Introduction: The software project, people concerned, dependencies
2
Traditional life cycle models
3
The EOS model
4
Managing EOS projects
5
Summary
EOS-E 20
1
Introduction: The software project, people
concerned, dependencies
Software project: Set of activities, limited in time, directed to achieve a
determined goal, yielding defined results which consist of (computer)
programs and corresponding documents. (cf. [HKLR 84])
Developer
Manager
Software
project
User
EOS-E 30
Investigating software projects: an interdisciplinary task
-
New technical paradigms for development influence work design - of users
and of developers themselves.
New work procedures lead to new requirements on methods and tools.
-
New (technically motivated) development procedures require new forms of
project management.
-
Quality of work (and its results) depend on the kind of project management.
--> Analysis and design of software development processes is an interdisciplinary task.
The project IPAS (Interdisciplinary project investigating the work situation in
software development) was staffed by
. computer scientists
. work psychologists
. sociologists
and followed a holistic approach.
The IPAS project
An empirical study on software engineering practice
Topics of investigation:
Study A: (by work psychologists and computer scientists):
• Communication and cooperation in projects
• User participation
• The software process
• Evaluation of methods and tools
• Exchange of information of software developers
• Object oriented methods and techniques, changeability of software,
• Implications for project management
Study B: (by sociologists):
• Adherence to plans and settings
• Formal planning vs. project success
• Informal, self-organising processes of software developers
• Efficiency of current management practice
• Conditions for dynamic project management
EOS-E 40
EOS-E 50
Summary of IPAS results
• Theory and practice, official guidelines and real work in software development
often significantly deviate from each other.
Example: Development handbooks, phase models vs. actual processes
• New technologies (like C/S or the internet) induce a new generation of
methods and work procedures --> resulting in requirements for new project
management techniques.
New development and management paradigms are necessary in order
(a)
to harmonize official standards and actual practice,
(b)
to adjust to new technologies and development techniques.
2
Traditional life cycle and process models
EOS-E 60
Classes of life cycle models (cf. [Boehm 1988], [Hesse/Merbeth/Frölich 1992])
sequential:
- Code and fix
- Phase and waterfall-like models (since 1970)
- Transformation models (since 1975)
non-sequential:
- Models for prototyping and incremental development (since 1980)
- Process-oriented and spiral models (Ch. Floyd 1985, B. Boehm 1988)
- Evolutionary development models (M. M. Lehman 1980)
Software development practice (as reported to IPAS):
- official: predominantly phases/waterfall, sometimes prototyping or incremental
- inofficial: “subversive”, all forms, much less waterfall, more prototyping,
incremental or evolutionary development, but also "code and fix"
Software life cycle models ..
EOS-E 70
.. are necessary for ..
- structuring the development process, defining activities, (intermediate) results
and quality assurance actions,
- giving the developers better orientation,
- setting up and controling milestones, intermediate goals, dates,
- project documentation, evaluation, comparisons, etc. ..;
.. but have their weaknesses since they are often ..
- not flexible enough (too rigid phase schema, unable to cope with instable
requirements)
- too bureaucratic (e.g. producing redundant documents, cf. [Denert 1990])
- over-automated, de-motivating and not quality-oriented,
- not encouraging products well suited for maintenance, extension, re-use,
- not properly dealing with the phases of operational use,
- separating the user’s from the developer’s worlds
- restricted to single, stand-alone-projects
Software process models
EOS-E 80
The process-oriented view (since ~ 1990)
- considers SW development as a holistic process, which ..
. does not follow a rigid phase schema,
. takes other than just the time dimension into account, e.g. space,
organisation, system architecture.
. is built up from activities and iterations (development cycles),
.. producing well-determined results,
. defines the roles and workflows of the people involved
Software process (cf. [Hum 89]) :
The set of activities, methods, and practices that are used in the production
and evolution of software.
Software process architecture
A framework within which project-specific software processes are defined.
Software process model
One specific embodiment of a software processes architecture.
EOS-E 90
1
Analysis
1
3
4
Design
7
9
Implementation
10
4
Operations &
maintenance
29 projects
156 responses concerning the phase schema
39 reports of explicit loops
IPAS results on project management practice
EOS-E 100
• Phase schema: prescribed in 61% of the projects,
- actually followed in 25% (from 100%)
- overlapping phases: 41%
- “Echternach procession”: 13 %
- anarchic:13 %
• Formal planning and project success: are only loosely coupled.
Success of projects depends more on ability to adapt to new situations and
requirements than on formal planning.
• Informal (self-controlled) processes and "tacid work" contribute significantly to
project success.
• The "static perception” of project managers ignores mostly the dynamics of real
development processes.
--> hidden conflicts, discrepancies
from: IPAS investigation of 46 software projects, cf. [Hesse & Weltz 1994]
IPAS results (cont'd)
EOS-E 110
• Knowledge Transfer from project to project:
Its importance is often underestimated or neglected.
• Over-estimation of tool capabilities:
Problems and difficulties cannot completely be solved by new CASE tools
or software architectures.
Primarily, a better understanding of project management and inner-project
communication processes is needed.
Resume:
The so-called software crisis is rather a crisis of management than
of development methods and tools.
3
The EOS model
EOS-E 120
Why YAM (yet another process model) ?
- Traditional models do not meet nowadays requirements (cf “weaknesses ..”)
- Existing process models are rather phase- or "waterfall-" than really “object-" or
component-oriented
(cf. the models of Shlaer/Mellor, Rumbaugh, Jacobson, Booch’s macro cycle,
and even RUP [Hesse 2001])
- Existing process models are often too bureaucratic and not (or hardly) scalable.
- The aspect of software evolution is hardly reflected.
- Component-oriented, distributed and web-based SW development requires
flexible and well-adaptable processes.
- Project management needs more support than a waterfall structure + milestones
can offer.
EOS-E 130
Phase-oriented vs. ...
Ph1
Ph2
Ph3
....
... component-oriented process
S
Legend:
X1
X2
C21
X3
C22
Building block
Phase or activity
Objects and features of the software process
EOS-E 140
• What are the main objects the software engineer has to deal with?
- Building blocks of various sizes:
. systems
. components / subsystems
. classes
- .. organised in a hierarchy lead to a three level system development structure:
. (S.)
System level
. (X.)
Component level
. (C.)
Class level
• What are the features of those objects ?
- Attributes:
. Size, Responsible_person, Start_date_of_work, Delivery_date, ...
- Operations:
. Development activities: Analysis, Design, Implementation, Operational_Use
EOS-E 150
Development cycles
-
• Each development cycle has the same structure and consists of
(.A) Analysis: Define requirements, build model, consult building block (BB)
library
(.D) Design: Specify and construct BB’s
(.I) Implementation: Transform designed BB’s to code, test, integrate
(.O) Operational use: installation, acceptance test, usage, revision
• Evolutionary development is supported by:
- Integration of operational use (incl. “maintenance” and revision) into
development cycles
- Further development and re-use of components
- Dynamic project planning and control based on cycles and activities
EOS-E 160
Phases of a development cycle
Analysis
Use & Operations
Design
Implementation
Use
environment
Development
environment
planning,
analytic
activities
synthetic,
verifying
activities
Combining
development cycles
in a traditional way
EOS-E 170
System
Analysis
System
Design
Component
Analysis
System
Op. Use
SA
SO
SD
SI
System
Implementation
XA
XO
XD
XI
Component
Design
Subsystem
Implementation
Class
Analysis
Class
Op. Use
CA
CD
Class
Design
Subsystem
Op. Use
CO
CI
Class
Implementation
EOS-E 180
Typical EOS-like
process structure
C02
X1
S
K01
X4
X2
C21
Development cycles intertwined in time
X3
C31
EOS-E 190
Metamodel for EOS
process elements
(from: [Beyer, Hesse 2002])
EOS-E 200
UML activity diagram for
system analysis (SA) phase
4
Managing EOS projects
Principles:
• Management structure follows system structure
Starting point: the EOS hierarchy levels
. S-cycle: Global planning (project-wide)
. X-cycles: Detailed steps (e.g. team work packages)
. C-Cycles: Activities of single developers
• Differenciated units of planning and control (on each level)
. 1st planning stage: development cycle as a whole
. 2nd planning stage: phases within cycle
• Dynamic, situative planning
- Rather informal planning, "stand by"-management
- Situation-driven adjustment of plans
- Frequent plan revisions
EOS-E 210
Management principles (cont'd)
EOS-E 220
• “Object oriented” workpackages
- Developers are primarily responsible for “objects” - not for activities. .
Planning refers to objects rather than to activities:
• Clearly defined responsibilities
. on S- and X-level: by development (&support) teams (with users
participating whereever necessary)
. on C-level: by single developers or users
• Transparent planning, reliable plan control
- Continuous information of teams on the project status
- Plan revisions at defined points of time ( revision points)
• Dynamic and adaptable cost and effort estimation
. based on the EOS process structure, experience data and statistical
regression methods ( [Sarferaz, Hesse 2000])
EOS-E 230
Revision points
.. replace milestones but are much more differentiated and flexible
CA H
CA E
C-cycle
CD H
CD E
CI E
XA J
XA
G
XA D
XA B
XAA
XD B
XDA
SA
XDG
XD D
X-cycle
XI D
XI B
XO B
XI A
XO A
SD
SI
t
R1
S-cycle
Summary and outlook
EOS-E 240
• EOS combines the ideas of evolutionary and object-oriented software
development
• The development process is structured
- by hierarchy levels (system, component/subsystem, class)
- by phases (analyse, design, implement, operate) and activities
• Cycles and phases are linked in a systematic and orthogonal manner.
• Development cycles are planned and executed on demand and in a dynamic
way.
• Project managers can plan and survey the project on every level of detail by
means of revision points.
• Ongoing work: S. Sarferaz: "Methods and tool support for evolutionary, object
oriented software development", forthcoming Ph. D. thesis, Univ. of Marburg
References
EOS-E 250
[Beyer, Hesse 2002] Use of UML for software process modelling. Internal report, Univ.
Marburg 2002
[Bittner, Hesse, Schnath 95] U. Bittner, W. Hesse, J. Schnath: Praxis der SoftwareEntwicklung, Methoden, Werkzeuge, Projektmanagement - Eine Bestandsaufnahme,
Oldenbourg 1995
[Budde et al. 91] R. Budde, K. Kautz, K. Kuhlenkamp, H. Züllighoven: Prototyping - an
approach to evolutionary system development, Springer 1991
[Denert 90] E. Denert (u. Mitwirkung von J. Siedersleben): Software Engineering Methodische Projektabwicklung, Springer 1990
[Frese, Hesse 93] M. Frese, W. Hesse: The work situation in software development Results of an empirical study, ACM SIGSOFT Software Engineering Notes, Vol. 18, No.
3, pp. A-65 - A-72 (1993)
[Floyd, Reisin, Schmidt 89] Ch. Floyd, F.-M. Reisin, G. schmidt: STEPS to software
development with users; in: C. Ghezzi, J. McDermid (eds.): ESEC ‘89, 2nd European
Software Engineering Conference; LNCS 387, pp. 48-64, Springer 1989
[Hesse, Merbeth, Frölich 92] W. Hesse, G. Merbeth, R. Frölich: Softwaretechnik Vorgehensmodelle, Projektführung und Produktverwaltung, Handbuch der Informatik
Bd. 5.2, Oldenbourg 1992
[Hesse 96] W. Hesse: Theory and practice of the software process - a field study and its
implications for project management; in: C. Montangero (ed.): Software Process Technology, 5th Europ. Workshop EWSPT 96; Springer LNCS 1149, pp. 241-256 (1996)
References (cont'd)
EOS-E 260
[Hesse 97a] W. Hesse: From WOON to EOS: New development methods require a new
software process model; Bericht Nr. 12, Fachbereich Mathematik, Univ. Marburg; and:
Proc. WOON ´96, 1st Int. Conf. on OO technology, St. Petersburg 1997
[Hesse 97b] W. Hesse: Improving the software process guided by the EOS model. In:
Proc. SPI '97 European Conference on Software Process Improvement. Barcelona
1997
[Hesse 01] W. Hesse: RUP - A Process Model for Working with UML. Ch. 4 in: K. Siau, T.
Halpin: Unified Modeling Language: System Analysis, Design and Development
Issues. Idea Group Publishing 2001
[Hesse, Weltz 94] W. Hesse, F. Weltz: Projektmanagement für evolutionäre SoftwareEntwicklung; Information Management 3/94, pp. 20-33, (1994)
[Humphrey 89] W. Humphrey: Managing the software process; Addison-Wesley 1989
[Lehman 80] M.M. Lehman: Programs, life cycles, and laws of software evolution, Proc. of
the IEEE Vol. 68, No. 9 (Cat. no. 0018-9219), pp. 1060-1076 (1980)
[Sarferaz, Hesse 00] S. Sarferaz, W. Hesse: CEOS – A Cost Estimation Method for
Evolutionary, Object-Oriented Software Development . In.: R. Dumke, A. Abran (Eds.):
New Approaches in Software Measurement. Proc. 10th Int. Workshop, IWSM 2000,
Springer LNCS 2006, pp. 29-43