Functional Size Estimation Technologies for Software Maintenance

Ebert, Christof; Soubra, Hassan

doi:10.1109/ms.2014.138

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…COSMIC FSM method [72] can be used also to approximate the software size at the beginning of the software life cycle. The COSMIC FSM method has been successfully used for sizing data manipulation-rich software and some scientific/ engineering software [73].…”

Section: Studymentioning

confidence: 99%

Software Enhancement Effort Prediction Using Machine-Learning Techniques: A Systematic Mapping Study

2021

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Accurate prediction of software enhancement effort is a key success in software project management. To increase the accuracy of estimates, several proposals used machine-learning (ML) techniques for predicting the software project effort. However, there is no clear evidence for determining which techniques to select for predicting more accurate effort within the context of enhancement projects. This paper aims to present a systematic mapping study (SMS) related to the use of ML techniques for predicting software enhancement effort (SEME). A SMS was performed by reviewing relevant papers from 1995 through 2020. We followed well-known guidelines. We selected 30 relevant studies; 19 from journals and 11 conferences proceedings through 4 search engines. Some of the key findings indicate that (1) there is relatively little activity in the area of SEME, (2) most of the successful studies cited focused on regression problems for enhancement maintenance effort prediction, (3) SEME is the dependent variable the most commonly used in software enhancement project planning, and the enhancement size (or the functional change size) is the most used independent variables, (4) several private datasets were used in the selected studies, and there is a growing demand for the use of commonly published datasets, and (5) only single models were employed for SEME prediction. Results indicate that much more work is needed to develop repositories in all prediction models. Based on the findings obtained in this SMS, estimators should be aware that SEME using ML techniques as part of non-algorithmic models demonstrated increased accuracy prediction over the algorithmic models. The use of ML techniques generally provides a reasonable accuracy when using the enhancement functional size as independent variables.

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Section: Studymentioning

confidence: 99%

Software Enhancement Effort Prediction Using Machine-Learning Techniques: A Systematic Mapping Study

2021

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“…28 The size of the source code is the primary determinant of effort required for migration but it has to be adjusted to the system being migrated. 29 Without adjustment of any kind, it is referred to as the raw size. However, size in itself is not enough.…”

Section: Measuring System Sizementioning

confidence: 99%

Cost‐driven software migration: An experience report

Sneed¹,

Verhoef

2020

J Software Evolu Process

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Software migration projects are often bound either by time or cost or by both. If the project is bound by both time and cost, the user must sacrifice something else, usually the quality. The migration strategy depends on how the project is bound. Most migration projects are bound by time. The new system must be in operation by a given date, no matter what it costs. The project described here—a state employee payroll system—is bound by cost. It must remain within the budget, no matter how long it takes. The original costs were estimated based on the code size and the productivity measured in previous migration projects using three different approaches: conversion, redevelopment, and reimplementation. The conversion approach would have been the cheapest, but it had already been tried and failed. The redevelopment approach was considered to be out of the question due to the high costs. Thus, reimplementation remained as the only alternative. The costs of this approach were estimated using three different estimation methods and approved by the state government. The project has been in progress for 4 years, and until now, the estimated costs and actual costs are in the same order of magnitude: the costs have remained within budget. In fact, the costs are less than what was estimated with some methods. As this particular project is not bound by time, it is a good example of continuous migration.

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“… for specification or documentation : class or sequence diagrams for communicating the structure or behavior of code 5 for reengineering : program or data flow diagrams for understanding barely documented code 6 …”

Section: Introductionmentioning

confidence: 99%

On the perception of graph layouts

Grabinger

Häuser

Mottok

2023

J Software Evolu Process

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In the field of software engineering, graph‐based models are used for a variety of applications. Usually, the layout of those graphs is determined at the discretion of the user. This article empirically investigates whether different layouts affect the comprehensibility or popularity of a graph and whether one can predict the perception of certain aspects in the graph using basic graphical laws from psychology (i.e., Gestalt principles). Data on three distinct layouts of one causal graph is collected from 29 subjects using eye tracking and a print questionnaire. The evaluation of the collected data suggests that the layout of a graph does matter and that the Gestalt principles are a valuable tool for assessing partial aspects of a layout.

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Functional Size Estimation Technologies for Software Maintenance

Cited by 9 publications

References 3 publications

Software Enhancement Effort Prediction Using Machine-Learning Techniques: A Systematic Mapping Study

Software Enhancement Effort Prediction Using Machine-Learning Techniques: A Systematic Mapping Study

Cost‐driven software migration: An experience report

On the perception of graph layouts

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