More Web Proxy on the site http://driver.im/

Article

Software services: a research roadmap

Authors:

Satish Chandra,

Vibha Singhal Sinha,

Krishna RatakondaAuthors Info & Claims

FOSE 2014: Future of Software Engineering Proceedings

Pages 40 - 54

https://doi.org/10.1145/2593882.2593892

Published: 31 May 2014 Publication History

Abstract

Software services companies offer software development, testing and maintenance as a “service” to other organizations. As a thriv- ing industry in its own right, software services offers certain unique research problems as well as different takes on research problems typically considered in software engineering research. In this paper, we highlight some of these research problems, drawing heavily upon our involvement with IBM Global Business Services organization over the past several years. We focus on four selected topics: how to organize people and the flow of work through people, how to manage knowledge at an organizational level, how to estimate and manage risk in a services engagement, and finally, testing services. These topics by no means cover all areas pertinent to soft- ware services; rather, they reflect ones in which we have personal perspectives to offer. We also share our experience in deployment of research innovations in a large service delivery organization.

References

[1]

EggPlant. http://www.testplant.com/products/ eggplant.

[2]

Perfecto Mobile ScriptOnce API. http://www. perfectomobile.com/articles/scriptonce-api’ s-page.

[3]

APQC Process Classification Framework. http://www.apqc. org/process-classification-framework.

[4]

SAP Solution Maps. http://www.sap.com/solution. html.

[5]

JBoss Drools. http://www.jboss.org/drools/.

[6]

Application Assembly Optimization. URL \url{http://www.ibm.com/services/ us/gbs/application-management/ application-assembly-optimization/}.

[7]

HP QuickTest Professional. http://www8.hp.com/us/ en/software-solutions/software.html?compURI= 1172122&jumpid=reg_r1002_usen#.T-amcRfB-Gc.

[8]

IBM Rational Functional Tester. http://www-01.ibm.com/ software/awdtools/tester/functional.

[9]

ILog BRMS. http://www-01.ibm.com/software/ websphere/ilog/.

[10]

Selenium. http://seleniumhq.org.

[11]

T. Addison and S. Vallabh. Controlling software project risks: an empirical study of methods used by experienced project managers. In Proceedings of SAICSIT, 2002.

Digital Library

[12]

M. Alavi and D. Leidner. Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. In Proceedings of JSTOR, 2001.

Digital Library

[13]

M. Amram and N. Kulatilaka. Real Options: Managing Strategic Investment in an Uncertain World. Harvard Business School, 2000.

[14]

B. Ashok, J. Joy, H. Liang, S. K. Rajamani, G. Srinivasa, and V. Vangala. Debugadvisor: A recommender system for debugging. In Proceedings of FSE, 2009.

Digital Library

[15]

K. Balog, L. Azzopardi, and M. de Rijke. Formal models for expert finding in enterprise corpora. In Proceedings of SIGIR, 2006.

Digital Library

[16]

K. M. Bartol and A. Srivastava. Encouraging knowledge sharing: the role of organizational reward systems. Journal of Leadership & Organizational Studies, 9(1), 2002.

[17]

A. Begel, Y. P. Khoo, and T. Zimmermann. Codebook: Discovering and exploiting relationships in software repositories. In Proceedings of ICSE. ACM, 2010.

Digital Library

[18]

C. M. Beise. It project management and virtual teams. In Proceedings SIGMIS conference on Computer personnel research, 2004.

Digital Library

[19]

P. Berkhin. A survey of clustering data mining techniques. In Grouping Multidimensional Data, pages 25–71. 2006.

[20]

C. M. Bishop and N. M. Nasrabadi. Pattern recognition and machine learning, volume 1. Springer, New York, 2006.

Digital Library

[21]

D. M. Blei. Probabilistic topic models. Communications of the ACM, 55(4), 2012.

Digital Library

[22]

B. W. Boehm. Tutorial: Software Risk Management. IEEE Computer Society Press, 1989.

Digital Library

[23]

A. S. Bollinger and R. D. Smith. Managing organizational knowledge as a strategic asset. Journal of Knowledge Management, 5(1): 8–18, 2001.

[24]

G. Booch and A. Brown. Collaborative development environments. Advances in Computers, 59, 2003.

[25]

T.-H. Chang, T. Yeh, and R. C. Miller. GUI testing using computer vision. In Proceedings of CHI, pages 1535–1544, 2010.

Digital Library

[26]

R. N. Charette. Software Engineering Risk Analysis and Management. New York: McGraw-Hill, 1989.

Digital Library

[27]

L. Chen, O. Sheng, D. Goreham, and J. Watanabe. A real option analysis approach to evaluating digital government investment. In Proceedings of National conference on Digital government research, pages 157–166, 2005.

Digital Library

[28]

L. Cheng and C. DeSouza. Building collaboration into ides. ACM Queue, 9, 2004.

Digital Library

[29]

S. R. Choudhary, H. Versee, and A. Orso. WEBDIFF: Automated identification of cross-browser issues in web applications. In Proceedings of ICSM, pages 1–10, 2010.

Digital Library

[30]

S. R. Choudhary, D. Zhao, H. Versee, and A. Orso. WATER: Web Application TEst Repair. In Proceedings of ETSE, pages 24–29, 2011.

Digital Library

[31]

S. R. Choudhary, M. R. Prasad, and A. Orso. CrossCheck: Combining crawling and differencing to better detect cross-browser incompatibilities in web applications. In Proceedings of ICST, pages 171–180, 2012.

Digital Library

[32]

S. R. Choudhary, M. R. Prasad, and A. Orso. X-PERT: Accurate identification of cross-browser issues in web applications. In Proceedings of ICSE, pages 702–711, 2013.

Digital Library

[33]

E. Clemons and B. Weber. Strategic information technology investments: guidelines for decision making. Journal of Management Information Systems, 7(2):9–28, Fall 1990.

Digital Library

[34]

D. M. Cohen, S. R. Dalal, J. Parelius, and G. C. Patton. The combinatorial design approach to automatic test generation. IEEE Softw., 13(5):83–88, Sept. 1996.

Digital Library

[35]

D. M. Cohen, S. R. Dalal, M. L. Fredman, and G. C. Patton. The AETG System: An Approach to Testing Based on Combinatorial Design. IEEE Trans. Softw. Eng., 23(7):437–444, July 1997.

Digital Library

[36]

M. B. Cohen, P. B. Gibbons, W. B. Mugridge, and C. J. Colbourn. Constructing test suites for interaction testing. In Proceedings of ICSE, pages 38–48, 2003.

Digital Library

[37]

IBM. Communications. Making markets through services. IBM Annual Investor’s Briefing, page 10, 2012.

[38]

D. Cubranic and G. Murphy. Hipikat: Recommending pertinent software development artifacts. Proceedings of ICSE, pages 403–418, 2003.

Digital Library

[39]

D. Cubranic, G. C. Murphy, J. Singer, and K. S. Booth. Hipikat: A project memory for software development. IEEE Transactions on Software Engineering, 2005.

Digital Library

[40]

B. Daniel, V. Jagannath, D. Dig, and D. Marinov. ReAssert: Suggesting repairs for broken unit tests. In Proceedings of ASE, pages 433–444, 2009.

Digital Library

[41]

B. Daniel, T. Gvero, and D. Marinov. On test repair using symbolic execution. In Proceedings of ISSTA, pages 207–218, 2010.

Digital Library

[42]

B. Daniel, Q. Luo, M. Mirzaaghaei, D. Dig, D. Marinov, and M. Pezzè. Automated GUI refactoring and test script repair. In Proceedings of ETSE, pages 38–41, 2011.

Digital Library

[43]

T. H. Davenport and L. Pruzak. Working knowledge: How organizations manage what they know. Harvard Business Press, 2000.

Digital Library

[44]

K. Desouza, T. Dingsoyr, and Y. Awazu. Experiences with conducting project postmortems: Reports vs. stories and practitioner perspective. In Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 2005.

Digital Library

[45]

K. C. Desouza, Y. Awazu, and P. Baloh. Managing knowledge in global software development efforts: Issues and practices. IEEE Software, 23:30–37, 2006.

Digital Library

[46]

P. Devaki, S. Thummalapenta, N. Singhania, and S. Sinha. Efficient and flexible GUI test execution via test merging. In Proceedings of ISSTA, pages 34–44, 2013.

Digital Library

[47]

T. G. Dietterich. Ensemble methods in machine learning. In Proceedings of the First International Workshop on Multiple Classifier Systems, 2000.

Digital Library

[48]

M. Emmi, R. Majumdar, and K. Sen. Dynamic test input generation for database applications. In Proceedings of ISSTA, 2007.

Digital Library

[49]

J. R. Evaristo, R. Scudder, K. Desouza, and O. Sato. A dimensional analysis of geographically distributed project teams: A case study. Journal of Engineering and Technology Management, 21:175–189, 2004.

[50]

E. Farchi, I. Segall, and R. Tzoref-Brill. Using projections to debug large combinatorial models. In Proceedings of ICST Workshops, pages 311–320, 2013.

Digital Library

[51]

S. Feldman and C. Sherman. The high cost of not finding information. IDC Whitepaper.

[52]

R. G. Fichman. Real options and it platform adoption: Implications for theory and practice. Information Systems Research, 15(2):132– 154, 2004.

Digital Library

[53]

B. Freimut, S. Hartkopf, P. Kaiser, J. Kontio, and W. Kobitzsch. An industrial case study of implementing software risk management. In Proceedings of FSE, pages 277–287, 2001. ISBN 1-58113-390-1.

Digital Library

[54]

D. G. Gilovich and D. Kahneman. Heuristics and Biases: The Psychology of Intuitive Judgement. Cambridge University Press, Cambridge, U.K., 2002.

[55]

R. Goodwin, S. Goh, P. Mazzolen, V. Sinha, D. Mukherjee, and S. Mani. Effective content reuse for business consulting practices. Annual SRII Global Conference, 2012.

Digital Library

[56]

M. Grechanik, Q. Xie, and C. Fu. Maintaining and evolving GUIdirected test scripts. In Proceedings of ICSE, pages 408–418, 2009.

Digital Library

[57]

M. Grechanik, C. Csallner, C. Fu, and Q. Xie. Is data privacy always good for software testing? In Proceedings of ISSRE, pages 368–377, 2010.

Digital Library

[58]

R. Guha, R. McCool, and E. Miller. Semantic search. In Proceedings of WWW, 2003.

Digital Library

[59]

S. Gulwani. Dimensions in program synthesis. In Proceedings of SPPDP, pages 13–24, 2010.

Digital Library

[60]

M. Gupta, D. Mukherjee, S. Mani, V. Singhal Sinha, and S. Sinha. Serving information needs in business process consulting. In Business Process Management, Lecture Notes in Computer Science, 2011.

Digital Library

[61]

M. Hansen, N. Nohria, and T. Tierney. Whatâ ˘ A ´ Zs your strategy for managing knowledge. The knowledge management yearbook, 2001: 55–69, 2000.

[62]

D. Hao, T. Lan, H. Zhang, C. Guo, and L. Zhang. Is this a bug or an obsolete test? In Proceedings of ECOOP, pages 602–628, 2013.

Digital Library

[63]

P. Hendriks. Why share knowledge? the influence of ict on the motivation for knowledge sharing. Knowledge and process management, 6(2), 1999.

[64]

S. Henss, M. Monperrus, and M. Mezini. Semi-automatically extracting faqs to improve accessibility of software development knowledge. In Proceedings of ICSE, 2012.

Digital Library

[65]

J. D. Herbsleb and D. Moitra. Global Software Development. IEEE Software, March-April, 2001.

Digital Library

[66]

R. Holmes and R. J. Walker. Systematizing pragmatic software reuse. ACM Trans. Softw. Eng. Methodol., 21(4), Feb. 2013.

Digital Library

[67]

M. Host and C. Lindholm. Different conceptions in software project risk assessment. In Proceedings of SAC, pages 1422–1426, 2007.

Digital Library

[68]

Y. Hu, J. Huang, J. Chen, M. Liu, and K. Xie. Software project risk management modeling with neural network and support vector machine approaches. In Proceedings of ICNC, volume 3, pages 358– 362, 24–27 Aug. 2007.

Digital Library

[69]

G. Jianyi, Z. Li, L. Xusheng, H. Yuejuan, and Y. Zhengtao. Implementing a quantitative-based methodology for project risk assessment dss. In Proceedings of CCC, pages 730–734, 2008.

[70]

V. Kacholia, S. Pandit, S. Chakrabarti, S. Sudarshan, R. Desai, and H. Karambelkar. Bidirectional expansion for keyword search on graph databases. In Proceedings of VLDB, 2005.

Digital Library

[71]

S. Kagan and M. Rolek. IBM Next Generation Testing. http://public.dhe.ibm.com/common/ssi/ecm/ en/gbw03121usen/GBW03121USEN.PDF, 2010.

[72]

D. Kasap and M. Kaymak. Risk identification step of the project risk management. In Proc. Portland International Center for Management of Engineering and Technology, pages 2116–2120, 5–9 Aug. 2007.

[73]

M. Keil, J. Mann, and R. Arun. Why software projects escalate: An empirical analysis and test of four theoretical models. MIS Quarterly, 24(4):631–664, 2000.

Digital Library

[74]

R. Kraft, F. Maghoul, and C. C. Chang. Y! q: contextual search at the point of inspiration. In Proceedings of CIKM. ACM, 2005.

Digital Library

[75]

R. Kumar. A note on project risk and option values of investments in information technologies. Journal of Management Information Systems, pages 187–193, 1996.

Digital Library

[76]

V. Le, S. Gulwani, and Z. Su. SmartSynth: Synthesizing smartphone automation scripts from natural language. In Proceeding of the 11th Annual International Conference on Mobile Systems, Applications, and Services, pages 193–206, 2013.

Digital Library

[77]

C. Li and C. Csallner. Dynamic symbolic database application testing. In Proceedings of the 3rd International Workshop on Testing Database Systems, 2010.

Digital Library

[78]

Q. Li and B. Boehm. Improving scenario testing process by adding value-based prioritization: An industrial case study. In Proceedings of ICSSP, pages 78–87, 2013.

Digital Library

[79]

J. Mahmud and T. Lau. Lowering the barriers to website testing with cotester. In Proceedings of IUI, pages 169–178, 2010.

Digital Library

[80]

D. Majumdar, R. Catherine, S. Ikbal, and K. Visweswariah. Privacy protected knowledge management in services with emphasis on quality data. In Proceedings of CIKM, 2011.

Digital Library

[81]

Y. Malhotra. Why knowledge management systems fail: enablers and constraints of knowledge management in human enterprises. In Handbook on Knowledge Management 1. Springer, 2004.

[82]

S. Mani, K. Sankaranarayanan, V. S. Sinha, and P. Devanbu. Panning requirement nuggets in stream of software maintenance tickets. In Technical Report RI14006, IBM Research.

[83]

S. Mani, R. Catherine, V. S. Sinha, and A. Dubey. AUSUM: Approach for unsupervised bug report summarization. In Proceedings of FSE, 2012.

Digital Library

[84]

C. D. Manning, P. Raghavan, and H. Schütze. Introduction to information retrieval, volume 1. Cambridge University Press Cambridge, 2008.

[85]

B. Manville. A complex adaptive approach to KM: reflections on the case of McKinsey & Company, Inc. In Knowledge Management Review.

[86]

M. Marcozzi, W. Vanhoof, and J.-L. Hainaut. Test input generation for database programs using relational constraints. In Proceedings of the 5th International Workshop on Testing Database Systems, 2012.

Digital Library

[87]

E. Maytorena, G. M. Winch, J. Freeman, and T. Kiely. The influence of experience and information search styles on project risk identification performance. IEEE Transactions on Engineering Management, 54(2):315–326, 2007.

[88]

R. McDermott. Why information technology inspired but cannot deliver knowledge management. Knowledge and communities, 41 (4):21–35, 2000.

[89]

A. M. Memon. Automatically repairing event sequence-based GUI test suites for regression testing. ACM Transaction Software Engineering and Methodology, 18:1–36, November 2008.

Digital Library

[90]

A. Mesbah and M. R. Prasad. Automated cross-browser compatibility testing. In Proceedings of ICSE, pages 561–570, 2011.

Digital Library

[91]

M. Mirzaaghaei, F. Pastore, and M. Pezzé. Supporting test suite evolution through test case adaptation. In Proceedings of ICST, pages 231–240, 2012.

Digital Library

[92]

A. Mockus and J. Herbsleb. Expertise browser. a quantitative approach to identifying expertise. Proceedings of ICSE, pages 503– 512, 2002.

Digital Library

[93]

A. Mockus and J. D. Herbsleb. Expertise browser: A quantitative approach to identifying expertise. In Proceedings of ICSE, 2002.

Digital Library

[94]

D. Mukherjee, S. Mani, V. S. Sinha, R. Ananthanarayanan, B. Srivastava, P. Dhoolia, and P. Chowdhury. AHA: Asset harvester assistant. In Proceedings of SCC, 2010.

Digital Library

[95]

N. Nagappan and T. Ball. Use of relative code churn measures to predict system defect density. In Proceedings of ICSE, 2005.

Digital Library

[96]

L. T. Nowell, R. K. France, D. Hix, L. S. Heath, and E. A. Fox. Visualizing search results: Some alternatives to query-document similarity. In Proceedings of SIGIR, 1996.

Digital Library

[97]

K. Pan, X. Wu, and T. Xie. Generating program inputs for database application testing. In Proceedings of ASE, 2011.

Digital Library

[98]

D. Perelman, S. Gulwani, T. Ball, and D. Grossman. Type-directed completion of partial expressions. In Proceedings of PLDI, pages 275–286, 2012.

Digital Library

[99]

L. S. Pinto, S. Sinha, and A. Orso. Understanding myths and realities of test-suite evolution. In Proceedings of FSE, 2012.

Digital Library

[100]

G. V. Ranade and L. R. Varshney. To crowdsource or not to crowdsource? Proceedings of the 4th Human Computation Workshop, 2012.

[101]

S. Rastkar, G. C. Murphy, and G. Murray. Summarizing software artifacts: A case study of bug reports. In Proceedings of ICSE, 2010.

Digital Library

[102]

S. P. Reiss. Semantics-based code search. In Proceedings of ICSE, 2009.

Digital Library

[103]

I. Segall and R. Tzoref-Brill. Interactive refinement of combinatorial test plans. In Proceedings of ICSE, pages 1371–1374, 2012.

Digital Library

[104]

I. Segall, R. Tzoref-Brill, and A. Zlotnick. Simplified modeling of combinatorial test spaces. In Proceedings of ICST, pages 573–579, 2012.

Digital Library

[105]

B. Sengupta, S. Chandra, and S. V. A research agenda for distributed software development. Proceedings of ICSE, 2006.

Digital Library

[106]

B. Shneiderman, D. Feldman, A. Rose, and X. F. Grau. Visualizing digital library search results with categorical and hierarchical axes. In Proceedings of the Fifth ACM Conference on Digital Libraries, 2000.

Digital Library

[107]

V. S. Sinha, S. Mani, and D. Mukherjee. Is text search an effective approach for fault localization: A practitioners perspective. In Proceedings of SPLASH, Wavefront track, 2012.

Digital Library

[108]

G. Spanoudakis and A. Zisman. Software traceability: a roadmap. Handbook of Software Engineering and Knowledge Engineering, 3: 395–428, 2005.

[109]

A. Sun and C. Li. Research on project risk evaluation method based on markov process. In Proceedings of WiCOM, pages 5293–5296, 2007.

[110]

C. Sun, D. Lo, X. Wang, J. Jiang, and S.-C. Khoo. A discriminative model approach for accurate duplicate bug report retrieval. In Proceedings of ICSE, 2010.

Digital Library

[111]

K. Taneja, M. Grechanik, R. Ghani, and T. Xie. Testing software in age of data privacy: A balancing act. In Proceedings of ESEC/FSE, pages 201–211, 2011.

Digital Library

[112]

S. Thummalapenta, N. Singhania, P. Devaki, S. Sinha, S. Chandra, A. K. Das, and S. Mangipudi. Efficiently scripting change-resilient tests. In Proceedings of FSE, Tool Demonstrations Track, 2012.

Digital Library

[113]

S. Thummalapenta, S. Sinha, N. Singhania, and S. Chandra. Automating test automation. In Proceedings of ICSE, 2012.

Digital Library

[114]

S. Thummalapenta, P. Devaki, S. Sinha, S. Chandra, S. Gnanasundaram, D. D. Nagaraj, and S. Sathishkumar. Efficient and changeresilient test automation: An industrial case study. In Proceedings of ICSE, SE in Practice Track, pages 1002–1011, 2013.

Digital Library

[115]

S. Thummalapenta, K. V. Lakshmi, S. Sinha, N. Sinha, and S. Chandra. Guided test generation for web applications. In Proceedings of ICSE, pages 162–171, 2013.

Digital Library

[116]

X. Wang, L. Zhang, T. Xie, J. Anvik, and J. Sun. An approach to detecting duplicate bug reports using natural language and execution information. In Proceedings of ICSE, 2008.

Digital Library

[117]

J.-R. Wen, N. Lao, and W.-Y. Ma. Probabilistic model for contextual retrieval. In Proceedings of SIGIR, 2004.

Digital Library

[118]

D. Willmor and S. M. Embury. Testing the implementation of business rules using intensional database tests. In Proceedings of TAIC– PART, pages 115–126, 2006.

Digital Library

[119]

M. Wing. On the economics of software. SIGSOFT Softw. Eng. Notes, 32(6):8–9, 2007.

Digital Library

[120]

T. Yeh, T.-H. Chang, and R. C. Miller. Sikuli: Using GUI screenshots for search and automation. In Proceedings of UIST, 2009.

Digital Library

[121]

S. Zhang, H. Lü, and M. D. Ernst. Automatically repairing broken workflows for evolving GUI applications. In Proceedings of ISSTA, 2013.

Digital Library

Cited By

Giedrimas V(2020)The role of blockchain for increase trust on software components and services2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)10.1109/AICT50176.2020.9368582(1-4)Online publication date: 7-Oct-2020
https://doi.org/10.1109/AICT50176.2020.9368582
Akbulut SGebreyesus YMishra AYazici A(2019)Systematic Mapping on Quality in Web Application Testing2019 1st International Informatics and Software Engineering Conference (UBMYK)10.1109/UBMYK48245.2019.8965472(1-5)Online publication date: Nov-2019
https://doi.org/10.1109/UBMYK48245.2019.8965472
Vilela JGoncalves EHolanda ACastro JFigueiredo B(2016)A retrospective analysis of SAC requirementsACM SIGAPP Applied Computing Review10.1145/2993231.299323416:2(26-41)Online publication date: 29-Aug-2016
https://dl.acm.org/doi/10.1145/2993231.2993234
Show More Cited By

Index Terms

Software services: a research roadmap
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management
      2. Software management
2. Software and its engineering
  1. Software creation and management
    1. Software development process management
    2. Software verification and validation
      1. Software defect analysis
        Software testing and debugging
  2. Software notations and tools
    1. Software configuration management and version control systems

Index terms have been assigned to the content through auto-classification.

Recommendations

Research challenges on adaptive software and services in the future internet: towards an s-cube research roadmap
S-Cube '12: Proceedings of the First International Workshop on European Software Services and Systems Research: Results and Challenges

This paper introduces research challenges on future service-oriented systems and software services. Those research challenges have been identified in a coordinated effort by researchers under the umbrella of the EU FP7 Network of Excellence S-Cube. We ...
Towards the Next Generation of Service-Based Systems: The S-Cube Research Framework
CAiSE '09: Proceedings of the 21st International Conference on Advanced Information Systems Engineering

Research challenges for the next generation of service-based systems often cut across the functional layers of the Service-Oriented Architecture (SOA). Providing solutions to those challenges requires coordinated research efforts from various ...
A Framework For Understanding The Vision, Goals, Instruments And Uses Of Software Services

Software services have been suggested for use in several areas such as business-to-business communication, system integration and as an enabler for virtual enterprises. However, it has not been clear if the use of services in these different areas is ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

FOSE 2014: Future of Software Engineering Proceedings

May 2014

224 pages

ISBN:9781450328654

DOI:10.1145/2593882

General Chair:
James Herbsleb
Carnegie Mellon University, USA
,
Program Chairs:
Matthew B. Dwyer
University of Nebraska at Lincoln, USA
,
James Herbsleb
Carnegie Mellon University, USA

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering

In-Cooperation

TCSE: IEEE Computer Society's Tech. Council on Software Engin.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 May 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

ICSE '14

Sponsor:

SIGSOFT

ICSE '14: 36th International Conference on Software Engineering

May 31 - June 7, 2014

Hyderabad, India

Upcoming Conference

ICSE 2025

2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

Ottawa , ON , Canada

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
460
Total Downloads

Downloads (Last 12 months)7
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Giedrimas V(2020)The role of blockchain for increase trust on software components and services2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)10.1109/AICT50176.2020.9368582(1-4)Online publication date: 7-Oct-2020
https://doi.org/10.1109/AICT50176.2020.9368582
Akbulut SGebreyesus YMishra AYazici A(2019)Systematic Mapping on Quality in Web Application Testing2019 1st International Informatics and Software Engineering Conference (UBMYK)10.1109/UBMYK48245.2019.8965472(1-5)Online publication date: Nov-2019
https://doi.org/10.1109/UBMYK48245.2019.8965472
Vilela JGoncalves EHolanda ACastro JFigueiredo B(2016)A retrospective analysis of SAC requirementsACM SIGAPP Applied Computing Review10.1145/2993231.299323416:2(26-41)Online publication date: 29-Aug-2016
https://dl.acm.org/doi/10.1145/2993231.2993234
Vilela JGonçalves EHolanda AFigueiredo BCastro JOssowski S(2016)Retrospective, relevance, and trends of SAC requirements engineering trackProceedings of the 31st Annual ACM Symposium on Applied Computing10.1145/2851613.2851757(1264-1269)Online publication date: 4-Apr-2016
https://dl.acm.org/doi/10.1145/2851613.2851757
Grace PBarbosa JPickering BSurridge MHughes DTaconet CLeriche S(2014)Taming the interoperability challenges of complex IoT systemsProceedings of the 1st ACM Workshop on Middleware for Context-Aware Applications in the IoT10.1145/2676743.2676744(1-6)Online publication date: 9-Dec-2014
https://dl.acm.org/doi/10.1145/2676743.2676744

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents