research-article

Assessing the process of an Eastern European software SME using systemic analysis, GQM, and reliability growth models: a case study

Authors:

Vladimir Ivanov,

Manuel Mazzara,

Witold Pedrycz,

Alberto Sillitti,

Giancarlo SucciAuthors Info & Claims

ICSE '16: Proceedings of the 38th International Conference on Software Engineering Companion

Pages 251 - 259

https://doi.org/10.1145/2889160.2889250

Published: 14 May 2016 Publication History

Abstract

This paper reports on the experience of the authors in quantitatively assessing the development process of an Eastern European software SME (Small or Medium Size Enterprise). The company produces a very successful workflow and documentation tool, features about 30 full time developers and has a customer base of about 40 major organizations. It has hired the authors as consultants to address quality and productivity issues raised by the upper management and customers. The adopted approach is based on systemic analysis, and starts with a comprehensive GQM session with the top managers of the company, to fully define the scope of work, and progresses analysing the documentation, interviewing the manager and the lead developers, and quantitatively analysing the issue tracking system in place. Specific attention is placed in identifying "schismogenesis", situations that may lead to unresolvable conflicts. The approach has been proven successful in providing a result in short forecasted timeframe, and systemic analysis has been effective in spotting the most critical situations present in the company. The result has been a set of prioritized recommendations, centered first in eliminating the schismogenetic situations and then ranging from adopting a more quantitative process control, to streamline the activities, to organize a line of product.

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Cited By

Gogichaty MIvanov VKruglov APedrycz WSamatova ASucci GValeev R(2023)A Systemic Approach to Evaluating the Organizational Agility in Large-Scale CompaniesIEEE Access10.1109/ACCESS.2023.323442411(3307-3323)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3234424
Gusmanov K(2019)CNN LSTM Network Architecture for Modeling Software ReliabilitySoftware Technology: Methods and Tools10.1007/978-3-030-29852-4_17(210-217)Online publication date: 8-Oct-2019
https://doi.org/10.1007/978-3-030-29852-4_17
Gusmanov KLeavens GGarcia APăsăreanu C(2018)On the adoption of neural networks in modeling software reliabilityProceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3236024.3275433(962-964)Online publication date: 26-Oct-2018
https://dl.acm.org/doi/10.1145/3236024.3275433
Show More Cited By

Index Terms

Assessing the process of an Eastern European software SME using systemic analysis, GQM, and reliability growth models: a case study
1. Software and its engineering
  1. Software creation and management

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Information

Published In

cover image ACM Conferences

ICSE '16: Proceedings of the 38th International Conference on Software Engineering Companion

May 2016

946 pages

ISBN:9781450342056

DOI:10.1145/2889160

General Chair:
Laura Dillon
Michigan State University
,
Program Chairs:
Willem Visser
Stellenbosch University, South Africa
,
Laurie Williams
North Carolina State University

Copyright © 2016 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]

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ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS\TCSE: TC on Software Engineering
IEEE-CS\DATC: IEEE Computer Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 May 2016

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Innopolis University

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ICSE '16

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ACM
SIGSOFT
IEEE-CS\TCSE
IEEE-CS\DATC

ICSE '16: 38th International Conference on Software Engineering

May 14 - 22, 2016

Texas, Austin

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Overall Acceptance Rate 276 of 1,856 submissions, 15%

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Cited By

Gogichaty MIvanov VKruglov APedrycz WSamatova ASucci GValeev R(2023)A Systemic Approach to Evaluating the Organizational Agility in Large-Scale CompaniesIEEE Access10.1109/ACCESS.2023.323442411(3307-3323)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3234424
Gusmanov K(2019)CNN LSTM Network Architecture for Modeling Software ReliabilitySoftware Technology: Methods and Tools10.1007/978-3-030-29852-4_17(210-217)Online publication date: 8-Oct-2019
https://doi.org/10.1007/978-3-030-29852-4_17
Gusmanov KLeavens GGarcia APăsăreanu C(2018)On the adoption of neural networks in modeling software reliabilityProceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3236024.3275433(962-964)Online publication date: 26-Oct-2018
https://dl.acm.org/doi/10.1145/3236024.3275433
Bykov AIvanov VRogers AShunevich ASillitti ASucci GTormasov AYi JZabirov AZaplatnikov DHaddad HWainwright RChbeir R(2018)A new architecture and implementation strategy for non-invasive software measurement systemsProceedings of the 33rd Annual ACM Symposium on Applied Computing10.1145/3167132.3167327(1832-1839)Online publication date: 9-Apr-2018
https://dl.acm.org/doi/10.1145/3167132.3167327
Bykov AIvanov VMingazov MRogers AShunevich ASillitti ASucci GTormasov AYi JZabirov AZaplatnikov D(2018)Towards Non-invasive Software Measurement System: Architecture and ImplementationProceedings of 5th International Conference in Software Engineering for Defence Applications10.1007/978-3-319-70578-1_15(149-165)Online publication date: 4-Jan-2018
https://doi.org/10.1007/978-3-319-70578-1_15

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