Back Room Front Room 2

More documents

Recommendations

Info

PROJECT FAILURES: CONTINUING CHALLENGES FOR SUSTAINABLE INFORMATION SYSTEMS 7 innovation and satisfying developers’ egos and urges. Many software projects fail because of “bells and whistles” built into them. Fortunately, at least one requirement for simple solutions is naturally met by education. That requirement is known as time-boxing – a project management technique that puts “time boxes” around each task so that any expected slippages for the task completion are counteracted by simplifying the solution. As the last thing that the future users of the system need is a complex solution for their problems, time-boxing has been a very successful technique. Software projects in the educational surroundings are naturally “time-boxed” by the deadlines which must be met. Fourth, we must educate in a way commensurate with the rapid technology changes. This means that we should teach by passing knowledge, experience, wisdom – passing lasting values and leaving acquisition of skills to professional training and selfeducation. The above does not mean that university education should be void of teaching professional skills. The issue is more about the mode of education to be applied so that the students can acquire necessary skills. Using a lecture room to teach the syntax of a programming language or how to debug the code is a misguided effort. This can only be done in hands-on exercises in laboratories under a careful guidance of an experienced developer. Too frequently in universities “the experienced developer” is merely a senior student or inexperienced tutor. Fifth, we must accept that an EIS is a social system and that most project failures have little to do with the technology. Many technologically brilliant systems fail and many technologically inferior solutions are successful. Most project failures can be attributed to “soft components” – people, processes, management, etc. The introduction of some compulsory “ethical and societal” component in an introductory IS subject is not the answer. Too frequently the graduates of computing and IS courses are bad communicators whose social skills must not be restricted to Internet chat rooms. Does education matter as far as the theme of this paper is concerned? It is our belief that it does matter and that if designed properly and educational programme can make the difference. Paraphrasing the well-known observation that “great designs come from great designers”, we can perhaps put forward that “successful projects come from educated developers and are supported by educated maintainers”. 6 CONCLUSIONS Rapid market changes such as electronic commerce, deregulation, mergers, globalisation and increased competition have led to a business environment that is constantly evolving. The effects of integration and evolution of information technology coupled to the increasing education of people provide opportunities for organising work in ways that have never before been possible (Malone, 2003). Nowadays, more than ever, failure of IT systems cannot be tolerated. IT developers are faced with extraordinary pressures to achieve designs that result in systems of high reliability. The debate about appropriate development paradigms continues and this short paper is a small contribution to this debate. Our position is that complexity at organisational and product levels demand a closer look at the way that enterprises function and products are developed accordingly. Project management needs to be driven and organised in terms of meeting a clear set of requirements with results being visible early on and in frequent stages during the project. To achieve any sustainable improvements we need to also pay attention to educational programmes in broadening the student’s technical spectrum in a way that highlights the interrelated nature of developing systems, business strategies and business processes in a systemic manner. REFERENCES J. Bubenko (1994) Enterprise Modelling, Ingenierie des Systems d' Information, Vol. 2, No. 6. J. Bubenko (1995) Challenges in Requirements Engineering, in proceedings of RE'95, (ed) York, England, pp. 160-162, 1995. J. M. Carroll (2002) Scenarios and Design Cognition, in proceedings of IEEE Joint International Conference on Requirements Engineering (RE'02), E. Dubois and K. Pohl (ed) Essen, Germany, pp. 3-5, 2002. K. G. Doyle, J. R. G. Wood, and A. T. Wood-Harper (1993) Soft Systems and Systems Engineering: On the Use of Conceptual Models in Information Systems Development, Journal of Information Systems, Vol. 3, No. 3, July, pp. 187-198. R. Fichman (2004) Real Options and IT Platform Adoption: Implications for Theory and Practice, Information Systems Research, Vol. 15, No. 2, pp. 132-151. B. Fitzerald (1996) Formalised System Development Methodologies: A Critical Perspective, Information Systems, Vol. 6, No. 1, pp. 3-23.
8 ENTERPRISE INFORMATION SYSTEMS VI T. Gilb and S. Finzi (1988) Principles of Software Engineering Management: Addison-Wesley, 1988. T. Gilb and D. Graham (1993) Software Inspection: Addison-Wesley, 1993. The-Standish-Group (2003), "The CHAOS Chronicles - 2003,", http://www.costxpert.com/resource_center/chaos_com pared.html, 2003. J. Iivari (1991) A Conceptual Metamodel for an Information System: An Object-Oriented Interpretation, in "Advances in Information Modeling and Knowledge Bases", H. Jaakkola, H. Kangassalo, and S. Ohsuga (ed.), IOS Press, 1991, pp. 185-207. C. Larman and V. R. Basili (2003) Iterative and Incremental Development: A Brief History, IEEE Computer, Vol. 36, No. 6, pp. 47-56. K. Liu (2000) Semiotics in Information Systems Engineering. Cambridge, UK: Cambridge University Press, 2000. K. Liu, R. Clarke, P. Anderson, and R. Stamper (2002), "Coordination and Communication Using Signs: Studies in Organisational Semiotics." Boston, USA: Kluwer Academic Publishers, 2002. P. Loucopoulos and V. Karakostas (1995) System Requirements Engineering, 1st ed. London: McGraw Hill, 1995. P. Loucopoulos and R. Zicari (1992), "Conceptual Modelling, Databases and CASE: An Integrated View of Information Systems Development," John Wiley, 1992. P. Loucopoulos (2000) From Information Modelling to Enterprise Modelling, in "Information Systems Engineering: State of the Art and Research Themes", S. Brinkkemper, E. Lindencrona, and A. Solvberg (ed.), Springer, 2000, pp. 67-78. P. Loucopoulos and V. Kavakli (1997) Enterprise Knowledge Management and Conceptual Modelling, in proceedings of International Symposium on 'Past, Present and Future of Conceptual Modeling', P. P. Chen (ed) Los Angeles, USA, pp. 123-143, 1997. P. Loucopoulos (2004) Engaging Stakeholders in Defining Early Requirements, in proceedings of 6th International Conference on Enterprise Information Systems (ICEIS 2004), (ed) Porto, Portugal, 2004. L. A. Maciaszek and B. I. Liong (2005) Practical Software Engineering: A Case Study Approach. Harlow, UK: Addison-Wesley, 2005. T. W. Malone, R. Laubacher, and M. S. S. Morton (2003) Inventing the Organizations of the 21st Century. Cambridge, Massachusetts: MIT Press, 2003. National-Audit-Office (2004), "Ministry of Defence: Major Projects Report 2003," http://www.nao.gov.uk/pn/03-04/0304195.htm. London, UK, 2004. T. W. Olle, H. G. Sol, and A. A. Verrijn-Stuart (1984), "Information System Design Methodologies: A Comparative Review." Amsterdam: North Holland, 1984. T. W. Olle (1992) A Comparative Review of the ISO IRDS, the IBM Repository and the ECMA PCTE as a Vehicle for CASE Tools, in "CASE: Current Practice, Future Prospects", K. Spurr and P. Layzell (ed.), John Wiley, 1992. C. Potts (1996) Supporting Software Design: Integrating Design Methods and Design Rationale, in "Design Rationale", 1996. E. Yu and J. Mylopoulos (1994) Understanding 'Why" in Software Process Modeling, Analysis and Design, in proceedings of 16th International Conference on Software Engineering, (ed) Sorrento, Italy, pp. 159- 168, 1994.
Page 1 and 2: www.dbeBooks.com - An Ebook Library
Page 3 and 4: A C.I.P. Catalogue record for this
Page 5 and 6: vi TABLE OF CONTENTS PART 1 - DATAB
Page 7 and 8: viii TABLE OF CONTENTS A WIRELESS A
Page 9 and 10: CONFERENCE COMMITTEE Honorary Presi
Page 11 and 12: Hung, P. (AUSTRALIA) Jahankhani, H.
Page 13 and 14: Invited Papers
Page 15 and 16: 2 ENTERPRISE INFORMATION SYSTEMS VI
Page 17 and 18: 4 ENTERPRISE INFORMATION SYSTEMS VI
Page 19: 6 ENTERPRISE INFORMATION SYSTEMS VI
Page 23 and 24: 10 ENTERPRISE INFORMATION SYSTEMS V
Page 37 and 38: EVOLUTIONARY PROJECT MANAGEMENT: MU
Page 43 and 44: MANAGING COMPLEXITY OF ENTERPRISE I
Page 67 and 68: ASSESSING EFFORT PREDICTION MODELS
Page 69 and 70: ASSESSING EFFORT PREDICTION MODELS
Page 71 and 72:
ASSESSING EFFORT PREDICTION MODELS
Page 73 and 74:
ASSESSING EFFORT PREDICTION MODELS
Page 75 and 76:
ORGANIZATIONAL AND TECHNOLOGICAL CR
Page 77 and 78:
Page 79 and 80:
ASAP Processes W Project Kickoff A
Page 81 and 82:
Page 83 and 84:
since it means changing the relevan
Page 85 and 86:
ACME-DB: AN ADAPTIVE CACHING MECHAN
Page 87 and 88:
ACME-DB: AN ADAPTIVE CACHING MECHAN
Page 89 and 90:
Hit Rate (%) ACME-DB: AN ADAPTIVE C
Page 91 and 92:
5.3.6 Effect on all Policies by Int
Page 93 and 94:
ACKNOWLEDGEMENTS We would like to t
Page 95 and 96:
This paper describes the data sampl
Page 97 and 98:
The major limit A of the operation
Page 99 and 100:
RELATIONAL SAMPLING FOR DATA QUALIT
Page 101 and 102:
TOWARDS DESIGN RATIONALES OF SOFTWA
Page 103 and 104:
((Brown et al., 1998), pp. 159-190,
Page 105 and 106:
sive data filtering, presentation (
Page 107 and 108:
• implementation changes in servi
Page 109 and 110:
MEMORY MANAGEMENT FOR LARGE SCALE D
Page 111 and 112:
Data Rate [bytes/sec] 1600000 14000
Page 113 and 114:
E.g., DV Camcorder Camera Packets (
Page 115 and 116:
Procedure CheckOptimal (n rs 1 ...n
Page 117 and 118:
MEMORY MANAGEMENT FOR LARGE SCALE D
Page 119 and 120:
PART 2 Artificial Intelligence and
Page 121 and 122:
110 ENTERPRISE INFORMATION SYSTEMS
Page 123 and 124:
Page 125 and 126:
Page 127 and 128:
DYNAMIC MULTI-AGENT BASED VARIETY F
Page 129 and 130:
Page 131 and 132:
Page 133 and 134:
Page 135 and 136:
Page 137 and 138:
Page 139 and 140:
Page 141 and 142:
Page 143 and 144:
Page 145 and 146:
Page 147 and 148:
Page 149 and 150:
Page 151 and 152:
Page 153 and 154:
Page 155 and 156:
Page 157 and 158:
Page 159 and 160:
Page 161 and 162:
Page 163 and 164:
Page 165 and 166:
Page 167 and 168:
Page 169 and 170:
AN EXPERIENCE IN MANAGEMENT OF IMPR
Page 171 and 172:
Page 173 and 174:
Page 175 and 176:
Page 177 and 178:
Page 179 and 180:
ANALYSIS AND RE-ENGINEERING OF WEB
Page 181 and 182:
Module p0 Customer Itinerary Send I
Page 183 and 184:
departments: the marketing dept. se
Page 185 and 186:
• An acyclic module M is usable,
Page 187 and 188:
BALANCING STAKEHOLDER’S PREFERENC
Page 189 and 190:
The scenarios will provide an abstr
Page 191 and 192:
BALANCING STAKEHOLDER'S PREFERENCES
Page 193 and 194:
BALANCING STAKEHOLDER'S PREFERENCES
Page 195 and 196:
A POLYMORPHIC CONTEXT FRAME TO SUPP
Page 197 and 198:
A POLYMORPHIC CONTE XT FRAME TO SUP
Page 199 and 200:
Page 201 and 202:
Page 203 and 204:
FEATURE MATCHING IN MODEL-BASED SOF
Page 205 and 206:
combination of solution domains - a
Page 207 and 208:
• features for all the concepts:
Page 209 and 210:
Existence In both steps it is possi
Page 211 and 212:
matching strategies are maximal, mi
Page 213 and 214:
TOWARDS A META MODEL FOR DESCRIBING
Page 215 and 216:
elementary message (ae-message) can
Page 217 and 218:
problems on a pragmatic level, whic
Page 219 and 220:
TOWARDS A META MODEL FOR DESCRIBING
Page 221 and 222:
INTRUSION DETECTION SYSTEMS USING A
Page 223 and 224:
INTRUSION DETECTION SYSTEMS USING A
Page 225 and 226:
(k� 1) (k) (k�1) (k) p � w
Page 227 and 228:
Table 5: Performance Comparison of
Page 229 and 230:
A USER-CENTERED METHODOLOGY TO GENE
Page 231 and 232:
carries out the second phase of the
Page 233 and 234:
1 1 1 1 2 PROCESS STORE ENTITY EDGE
Page 235 and 236:
constraints rules. KOGGE (Ebert et
Page 237 and 238:
PART 4 Software Agents and Internet
Page 239 and 240:
Page 241 and 242:
Page 243 and 244:
Page 245 and 246:
Page 247 and 248:
Page 249 and 250:
Page 251 and 252:
Page 253 and 254:
Page 255 and 256:
Page 257 and 258:
Page 259 and 260:
Page 261 and 262:
Page 263 and 264:
Page 265 and 266:
Page 267 and 268:
Page 269 and 270:
Page 271 and 272:
Page 273 and 274:
Page 275 and 276:
Page 277 and 278:
Page 279 and 280:
Page 281 and 282:
Page 283 and 284:
Page 285 and 286:
CABA 2 L A BLISS PREDICTIVE COMPOSI
Page 287 and 288:
y disables evidencing severe mental
Page 289 and 290:
Figure 4: Symbols emission in DAR-H
Page 291 and 292:
they evidence a generalization erro
Page 293 and 294:
A METHODOLOGY FOR INTERFACE DESIGN
Page 295 and 296:
and mobility loss coupled with redu
Page 297 and 298:
Tradeoff: The default input is poss
Page 299 and 300:
Sessions on the VABS which are held
Page 301 and 302:
A CONTACT RECOMMENDER SYSTEM FOR A
Page 303 and 304:
A CONTACT RECOMMENDER SYSTEM FOR A
Page 305 and 306:
- "Going to the sources". The user
Page 307 and 308:
Here are the matrix W and P for our
Page 309 and 310:
EMOTION SYNTHESIS IN VIRTUAL ENVIRO
Page 311 and 312:
theme turns out to be surprisingly
Page 313 and 314:
6 FROM FEATURES TO SYMBOLS 6.1 Face
Page 315 and 316:
sions are described by different em
Page 317 and 318:
Electronic Imaging 2000 Conference
Page 319 and 320:
to the accessibility problem for th
Page 321 and 322:
Figure 3: Hierarchical View of the
Page 323 and 324:
4 CONCLUSIONS AND FUTURE WORK On th
Page 325 and 326:
PERSONALISED RESOURCE DISCOVERY SEA
Page 327 and 328:
Page 329 and 330:
profile, the user defines his curre
Page 331 and 332:
Page 333 and 334:
Abdelkafi, N. .....................
show all

Back Room Front Room 2

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?